{"id":86434,"date":"2024-08-13T05:56:12","date_gmt":"2024-08-13T05:56:12","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=86434"},"modified":"2024-08-13T05:56:20","modified_gmt":"2024-08-13T05:56:20","slug":"actual-sas-certification-a00-485-dumps-v8-02-trust-dumpsbase-for-your-modeling-using-sas-visual-statistics-exam-preparation","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/actual-sas-certification-a00-485-dumps-v8-02-trust-dumpsbase-for-your-modeling-using-sas-visual-statistics-exam-preparation.html","title":{"rendered":"Actual SAS Certification A00-485 Dumps (V8.02) &#8211; Trust DumpsBase for Your Modeling Using SAS Visual Statistics Exam Preparation"},"content":{"rendered":"\n<p>Passing the A00-485 Modeling Using SAS Visual Statistics exam is the requirement for earning the SAS Certified Associate: Modeling Using SAS Visual Statistics certification, which signifies a deep understanding of SAS Visual Statistics, a tool highly relevant in today&#8217;s tech-driven environment. Now, you can prepare for your SAS A00-485 exam well. DumpsBase has established itself as a trusted platform for SAS A00-485 exam preparation. We offer real and updated exam questions that mirror the actual exam content, providing a realistic practice experience. These questions are compiled by experienced professionals who continuously update the material to reflect the latest exam trends. By practicing with DumpsBase A00-485 dumps (V8.02), you can familiarize yourself with the exam format, identify weak areas, and build confidence.<\/p>\n<h2>SAS Modeling Using SAS Visual Statistics <em><span style=\"background-color: #00ffff;\">A00-485 Free Dumps Below<\/span><\/em><\/h2>\n<script>\n\t  window.fbAsyncInit = function() {\n\t    FB.init({\n\t      appId            : '622169541470367',\n\t      autoLogAppEvents : true,\n\t      xfbml            : true,\n\t      version          : 'v3.1'\n\t    });\n\t  };\n\t\n\t  (function(d, s, id){\n\t     var js, fjs = d.getElementsByTagName(s)[0];\n\t     if (d.getElementById(id)) {return;}\n\t     js = d.createElement(s); js.id = id;\n\t     js.src = \"https:\/\/connect.facebook.net\/en_US\/sdk.js\";\n\t     fjs.parentNode.insertBefore(js, fjs);\n\t   }(document, 'script', 'facebook-jssdk'));\n\t<\/script><script type=\"text\/javascript\" >\ndocument.addEventListener(\"DOMContentLoaded\", function(event) { \nif(!window.jQuery) alert(\"The important jQuery library is not properly loaded in your site. Your WordPress theme is probably missing the essential wp_head() call. You can switch to another theme and you will see that the plugin works fine and this notice disappears. If you are still not sure what to do you can contact us for help.\");\n});\n<\/script>  \n  \n<div  id=\"watupro_quiz\" class=\"quiz-area single-page-quiz\">\n<p id=\"submittingExam8910\" style=\"display:none;text-align:center;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watupro\/img\/loading.gif\" width=\"16\" height=\"16\"><\/p>\n\n<div class=\"watupro-exam-description\" id=\"description-quiz-8910\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-8910\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-348909'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>How can you export score code generated by SAS Visual Statistics for a trained model?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='348909' \/><input type='hidden' id='answerType348909' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348909[]' id='answer-id-1363326' class='answer   answerof-348909 ' value='1363326'   \/><label for='answer-id-1363326' id='answer-label-1363326' class=' answer'><span>By copying and pasting it into a text editor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348909[]' id='answer-id-1363327' class='answer   answerof-348909 ' value='1363327'   \/><label for='answer-id-1363327' id='answer-label-1363327' class=' answer'><span>By exporting it as a standalone script file<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348909[]' id='answer-id-1363328' class='answer   answerof-348909 ' value='1363328'   \/><label for='answer-id-1363328' id='answer-label-1363328' class=' answer'><span>By printing it directly from the SAS Visual Statistics interface<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348909[]' id='answer-id-1363329' class='answer   answerof-348909 ' value='1363329'   \/><label for='answer-id-1363329' id='answer-label-1363329' class=' answer'><span>By exporting it as a PDF document<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-2' style=';'><div id='questionWrap-2'  class='   watupro-question-id-348910'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>Refer to the exhibit: <br \/>\r<br><br><img decoding=\"async\" width=651 height=273 id=\"\u56fe\u7247 48\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image001-15.jpg\"><br><br \/>\r<br>Which is the modeling approach that should be used when fitting the Target Gift Amount variable?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='348910' \/><input type='hidden' id='answerType348910' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348910[]' id='answer-id-1363330' class='answer   answerof-348910 ' value='1363330'   \/><label for='answer-id-1363330' id='answer-label-1363330' class=' answer'><span>Linear regression model with Interaction effects.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348910[]' id='answer-id-1363331' class='answer   answerof-348910 ' value='1363331'   \/><label for='answer-id-1363331' id='answer-label-1363331' class=' answer'><span>Generalized linear model with a Poisson distribution and Identity link.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348910[]' id='answer-id-1363332' class='answer   answerof-348910 ' value='1363332'   \/><label for='answer-id-1363332' id='answer-label-1363332' class=' answer'><span>Generalized linear model with a Normal distribution and Log Link.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348910[]' id='answer-id-1363333' class='answer   answerof-348910 ' value='1363333'   \/><label for='answer-id-1363333' id='answer-label-1363333' class=' answer'><span>Logistic regression model.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-3' style=';'><div id='questionWrap-3'  class='   watupro-question-id-348911'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>When evaluating a Misclassification plot, what does it typically show?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='348911' \/><input type='hidden' id='answerType348911' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348911[]' id='answer-id-1363334' class='answer   answerof-348911 ' value='1363334'   \/><label for='answer-id-1363334' id='answer-label-1363334' class=' answer'><span>The distribution of predictor variables in the dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348911[]' id='answer-id-1363335' class='answer   answerof-348911 ' value='1363335'   \/><label for='answer-id-1363335' id='answer-label-1363335' class=' answer'><span>The relationship between two predictor variables<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348911[]' id='answer-id-1363336' class='answer   answerof-348911 ' value='1363336'   \/><label for='answer-id-1363336' id='answer-label-1363336' class=' answer'><span>The trade-off between false positives and false negatives at different thresholds<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348911[]' id='answer-id-1363337' class='answer   answerof-348911 ' value='1363337'   \/><label for='answer-id-1363337' id='answer-label-1363337' class=' answer'><span>The p-values associated with the predictor variables<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-4' style=';'><div id='questionWrap-4'  class='   watupro-question-id-348912'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='348912' \/><input type='hidden' id='answerType348912' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348912[]' id='answer-id-1363338' class='answer   answerof-348912 ' value='1363338'   \/><label for='answer-id-1363338' id='answer-label-1363338' class=' answer'><span>Aggregating a measure<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348912[]' id='answer-id-1363339' class='answer   answerof-348912 ' value='1363339'   \/><label for='answer-id-1363339' id='answer-label-1363339' class=' answer'><span>Creating a dummy variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348912[]' id='answer-id-1363340' class='answer   answerof-348912 ' value='1363340'   \/><label for='answer-id-1363340' id='answer-label-1363340' class=' answer'><span>Replacing dirty data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348912[]' id='answer-id-1363341' class='answer   answerof-348912 ' value='1363341'   \/><label for='answer-id-1363341' id='answer-label-1363341' class=' answer'><span>Transforming a variable<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-5' style=';'><div id='questionWrap-5'  class='   watupro-question-id-348913'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. &quot;Large&quot; is specified as the event. <br \/>\r<br>Which statement is true?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='348913' \/><input type='hidden' id='answerType348913' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348913[]' id='answer-id-1363342' class='answer   answerof-348913 ' value='1363342'   \/><label for='answer-id-1363342' id='answer-label-1363342' class=' answer'><span>The other levels are grouped into one non-event.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348913[]' id='answer-id-1363343' class='answer   answerof-348913 ' value='1363343'   \/><label for='answer-id-1363343' id='answer-label-1363343' class=' answer'><span>An ordinal logistic regression is performed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348913[]' id='answer-id-1363344' class='answer   answerof-348913 ' value='1363344'   \/><label for='answer-id-1363344' id='answer-label-1363344' class=' answer'><span>A multinomial logistic regression is performed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348913[]' id='answer-id-1363345' class='answer   answerof-348913 ' value='1363345'   \/><label for='answer-id-1363345' id='answer-label-1363345' class=' answer'><span>The other levels are offset to account for exposure.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-6' style=';'><div id='questionWrap-6'  class='   watupro-question-id-348914'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='348914' \/><input type='hidden' id='answerType348914' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348914[]' id='answer-id-1363346' class='answer   answerof-348914 ' value='1363346'   \/><label for='answer-id-1363346' id='answer-label-1363346' class=' answer'><span>Principal Component Analysis (PCA)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348914[]' id='answer-id-1363347' class='answer   answerof-348914 ' value='1363347'   \/><label for='answer-id-1363347' id='answer-label-1363347' class=' answer'><span>Linear Regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348914[]' id='answer-id-1363348' class='answer   answerof-348914 ' value='1363348'   \/><label for='answer-id-1363348' id='answer-label-1363348' class=' answer'><span>K-means<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348914[]' id='answer-id-1363349' class='answer   answerof-348914 ' value='1363349'   \/><label for='answer-id-1363349' id='answer-label-1363349' class=' answer'><span>Decision Tree<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-7' style=';'><div id='questionWrap-7'  class='   watupro-question-id-348915'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='348915' \/><input type='hidden' id='answerType348915' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348915[]' id='answer-id-1363350' class='answer   answerof-348915 ' value='1363350'   \/><label for='answer-id-1363350' id='answer-label-1363350' class=' answer'><span>It is used as a predictor variable.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348915[]' id='answer-id-1363351' class='answer   answerof-348915 ' value='1363351'   \/><label for='answer-id-1363351' id='answer-label-1363351' class=' answer'><span>It is used as an event variable.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348915[]' id='answer-id-1363352' class='answer   answerof-348915 ' value='1363352'   \/><label for='answer-id-1363352' id='answer-label-1363352' class=' answer'><span>It is used to define the outcome categories.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348915[]' id='answer-id-1363353' class='answer   answerof-348915 ' value='1363353'   \/><label for='answer-id-1363353' id='answer-label-1363353' class=' answer'><span>It is not used in logistic regression modeling.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-8' style=';'><div id='questionWrap-8'  class='   watupro-question-id-348916'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>Assuming the event level is the same for both models, which pair of models can be compared? <br \/>\r<br>A) <br \/>\r<br><br><img decoding=\"async\" width=412 height=501 id=\"\u56fe\u7247 47\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image002-17.jpg\"><br><br \/>\r<br>B) <br \/>\r<br><br><img decoding=\"async\" width=406 height=482 id=\"\u56fe\u7247 46\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image003-19.jpg\"><br><br \/>\r<br>C) <br \/>\r<br><br><img decoding=\"async\" width=405 height=481 id=\"\u56fe\u7247 45\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image004-15.jpg\"><br><br \/>\r<br>D) <br \/>\r<br><br><img decoding=\"async\" width=414 height=501 id=\"\u56fe\u7247 44\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image005-15.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_8' value='348916' \/><input type='hidden' id='answerType348916' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348916[]' id='answer-id-1363354' class='answer   answerof-348916 ' value='1363354'   \/><label for='answer-id-1363354' id='answer-label-1363354' class=' answer'><span>Option A<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348916[]' id='answer-id-1363355' class='answer   answerof-348916 ' value='1363355'   \/><label for='answer-id-1363355' id='answer-label-1363355' class=' answer'><span>Option B<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348916[]' id='answer-id-1363356' class='answer   answerof-348916 ' value='1363356'   \/><label for='answer-id-1363356' id='answer-label-1363356' class=' answer'><span>Option C<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348916[]' id='answer-id-1363357' class='answer   answerof-348916 ' value='1363357'   \/><label for='answer-id-1363357' id='answer-label-1363357' class=' answer'><span>Option D<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-9' style=';'><div id='questionWrap-9'  class='   watupro-question-id-348917'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>In cluster analysis, what does the term &quot;centroid&quot; refer to?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='348917' \/><input type='hidden' id='answerType348917' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348917[]' id='answer-id-1363358' class='answer   answerof-348917 ' value='1363358'   \/><label for='answer-id-1363358' id='answer-label-1363358' class=' answer'><span>The total number of data points in a cluster<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348917[]' id='answer-id-1363359' class='answer   answerof-348917 ' value='1363359'   \/><label for='answer-id-1363359' id='answer-label-1363359' class=' answer'><span>The center point of a cluster in the feature space<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348917[]' id='answer-id-1363360' class='answer   answerof-348917 ' value='1363360'   \/><label for='answer-id-1363360' id='answer-label-1363360' class=' answer'><span>The number of variables used in the analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348917[]' id='answer-id-1363361' class='answer   answerof-348917 ' value='1363361'   \/><label for='answer-id-1363361' id='answer-label-1363361' class=' answer'><span>The minimum distance between two clusters<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-10' style=';'><div id='questionWrap-10'  class='   watupro-question-id-348918'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>What is meant by &quot;informative missingness&quot; in the context of linear regression?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='348918' \/><input type='hidden' id='answerType348918' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348918[]' id='answer-id-1363362' class='answer   answerof-348918 ' value='1363362'   \/><label for='answer-id-1363362' id='answer-label-1363362' class=' answer'><span>Missing data that is unrelated to the outcome variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348918[]' id='answer-id-1363363' class='answer   answerof-348918 ' value='1363363'   \/><label for='answer-id-1363363' id='answer-label-1363363' class=' answer'><span>Missing data that is randomly distributed across observations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348918[]' id='answer-id-1363364' class='answer   answerof-348918 ' value='1363364'   \/><label for='answer-id-1363364' id='answer-label-1363364' class=' answer'><span>Missing data that provides valuable information about the outcome<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348918[]' id='answer-id-1363365' class='answer   answerof-348918 ' value='1363365'   \/><label for='answer-id-1363365' id='answer-label-1363365' class=' answer'><span>Missing data that leads to multicollinearity among predictors<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-11' style=';'><div id='questionWrap-11'  class='   watupro-question-id-348919'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>How can you interpret a Tree Map in the context of a decision tree?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='348919' \/><input type='hidden' id='answerType348919' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348919[]' id='answer-id-1363366' class='answer   answerof-348919 ' value='1363366'   \/><label for='answer-id-1363366' id='answer-label-1363366' class=' answer'><span>It visualizes the distribution of data points in leaf nodes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348919[]' id='answer-id-1363367' class='answer   answerof-348919 ' value='1363367'   \/><label for='answer-id-1363367' id='answer-label-1363367' class=' answer'><span>It displays the hierarchical structure of the decision tree.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348919[]' id='answer-id-1363368' class='answer   answerof-348919 ' value='1363368'   \/><label for='answer-id-1363368' id='answer-label-1363368' class=' answer'><span>It shows the decision boundaries between classes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348919[]' id='answer-id-1363369' class='answer   answerof-348919 ' value='1363369'   \/><label for='answer-id-1363369' id='answer-label-1363369' class=' answer'><span>It summarizes the performance metrics of the decision tree.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-12' style=';'><div id='questionWrap-12'  class='   watupro-question-id-348920'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>Which modeling technique automatically includes missing values?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='348920' \/><input type='hidden' id='answerType348920' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348920[]' id='answer-id-1363370' class='answer   answerof-348920 ' value='1363370'   \/><label for='answer-id-1363370' id='answer-label-1363370' class=' answer'><span>Linear regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348920[]' id='answer-id-1363371' class='answer   answerof-348920 ' value='1363371'   \/><label for='answer-id-1363371' id='answer-label-1363371' class=' answer'><span>Decision tree<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348920[]' id='answer-id-1363372' class='answer   answerof-348920 ' value='1363372'   \/><label for='answer-id-1363372' id='answer-label-1363372' class=' answer'><span>Logistic regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348920[]' id='answer-id-1363373' class='answer   answerof-348920 ' value='1363373'   \/><label for='answer-id-1363373' id='answer-label-1363373' class=' answer'><span>Generalized linear model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-13' style=';'><div id='questionWrap-13'  class='   watupro-question-id-348921'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>When creating a Linear Regression, Category Variables can be used for Classification Effects and<\/div><input type='hidden' name='question_id[]' id='qID_13' value='348921' \/><input type='hidden' id='answerType348921' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348921[]' id='answer-id-1363374' class='answer   answerof-348921 ' value='1363374'   \/><label for='answer-id-1363374' id='answer-label-1363374' class=' answer'><span>Response<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348921[]' id='answer-id-1363375' class='answer   answerof-348921 ' value='1363375'   \/><label for='answer-id-1363375' id='answer-label-1363375' class=' answer'><span>Continuous Effects<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348921[]' id='answer-id-1363376' class='answer   answerof-348921 ' value='1363376'   \/><label for='answer-id-1363376' id='answer-label-1363376' class=' answer'><span>Group-by<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348921[]' id='answer-id-1363377' class='answer   answerof-348921 ' value='1363377'   \/><label for='answer-id-1363377' id='answer-label-1363377' class=' answer'><span>Frequency<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-348922'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>Explain what an icicle plot represents in decision tree analysis.<\/div><input type='hidden' name='question_id[]' id='qID_14' value='348922' \/><input type='hidden' id='answerType348922' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348922[]' id='answer-id-1363378' class='answer   answerof-348922 ' value='1363378'   \/><label for='answer-id-1363378' id='answer-label-1363378' class=' answer'><span>It displays the hierarchical structure of the decision tree.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348922[]' id='answer-id-1363379' class='answer   answerof-348922 ' value='1363379'   \/><label for='answer-id-1363379' id='answer-label-1363379' class=' answer'><span>It visualizes the distribution of data points in each leaf node.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348922[]' id='answer-id-1363380' class='answer   answerof-348922 ' value='1363380'   \/><label for='answer-id-1363380' id='answer-label-1363380' class=' answer'><span>It shows the feature importance for each variable in the tree.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348922[]' id='answer-id-1363381' class='answer   answerof-348922 ' value='1363381'   \/><label for='answer-id-1363381' id='answer-label-1363381' class=' answer'><span>It summarizes the performance metrics of the decision tree.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-15' style=';'><div id='questionWrap-15'  class='   watupro-question-id-348923'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>Refer to the following exhibit: <br \/>\r<br><br><img decoding=\"async\" width=458 height=278 id=\"\u56fe\u7247 43\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image006-16.jpg\"><br><br \/>\r<br>After creating a decision tree in SAS Visual Statistics, what is the value in deriving a Leaf ID Variable?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='348923' \/><input type='hidden' id='answerType348923' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348923[]' id='answer-id-1363382' class='answer   answerof-348923 ' value='1363382'   \/><label for='answer-id-1363382' id='answer-label-1363382' class=' answer'><span>Use the leaf ID data item in filters in other types of visualizations.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348923[]' id='answer-id-1363383' class='answer   answerof-348923 ' value='1363383'   \/><label for='answer-id-1363383' id='answer-label-1363383' class=' answer'><span>Use the leaf ID to rank order by posterior probabilities.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348923[]' id='answer-id-1363384' class='answer   answerof-348923 ' value='1363384'   \/><label for='answer-id-1363384' id='answer-label-1363384' class=' answer'><span>Use the leaf ID to identify clusters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348923[]' id='answer-id-1363385' class='answer   answerof-348923 ' value='1363385'   \/><label for='answer-id-1363385' id='answer-label-1363385' class=' answer'><span>Use the leaf ID to identify the most important variables.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-16' style=';'><div id='questionWrap-16'  class='   watupro-question-id-348924'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>In the context of linear regression, what does the term &quot;linearity&quot; refer to?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='348924' \/><input type='hidden' id='answerType348924' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348924[]' id='answer-id-1363386' class='answer   answerof-348924 ' value='1363386'   \/><label for='answer-id-1363386' id='answer-label-1363386' class=' answer'><span>The use of a straight line to model relationships<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348924[]' id='answer-id-1363387' class='answer   answerof-348924 ' value='1363387'   \/><label for='answer-id-1363387' id='answer-label-1363387' class=' answer'><span>The absence of any relationship between variables<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348924[]' id='answer-id-1363388' class='answer   answerof-348924 ' value='1363388'   \/><label for='answer-id-1363388' id='answer-label-1363388' class=' answer'><span>The requirement for variables to be categorical<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348924[]' id='answer-id-1363389' class='answer   answerof-348924 ' value='1363389'   \/><label for='answer-id-1363389' id='answer-label-1363389' class=' answer'><span>The use of polynomial functions for modeling<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-17' style=';'><div id='questionWrap-17'  class='   watupro-question-id-348925'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>What is one advantage of using SAS Studio to score new data with exported score code?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='348925' \/><input type='hidden' id='answerType348925' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348925[]' id='answer-id-1363390' class='answer   answerof-348925 ' value='1363390'   \/><label for='answer-id-1363390' id='answer-label-1363390' class=' answer'><span>It requires no additional software installation.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348925[]' id='answer-id-1363391' class='answer   answerof-348925 ' value='1363391'   \/><label for='answer-id-1363391' id='answer-label-1363391' class=' answer'><span>It provides advanced visualization capabilities.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348925[]' id='answer-id-1363392' class='answer   answerof-348925 ' value='1363392'   \/><label for='answer-id-1363392' id='answer-label-1363392' class=' answer'><span>It allows for direct integration with Hadoop clusters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348925[]' id='answer-id-1363393' class='answer   answerof-348925 ' value='1363393'   \/><label for='answer-id-1363393' id='answer-label-1363393' class=' answer'><span>It automatically optimizes the scoring process.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-18' style=';'><div id='questionWrap-18'  class='   watupro-question-id-348926'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>What are some properties that can be defined in a linear regression model?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='348926' \/><input type='hidden' id='answerType348926' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348926[]' id='answer-id-1363394' class='answer   answerof-348926 ' value='1363394'   \/><label for='answer-id-1363394' id='answer-label-1363394' class=' answer'><span>Learning rate and number of iterations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348926[]' id='answer-id-1363395' class='answer   answerof-348926 ' value='1363395'   \/><label for='answer-id-1363395' id='answer-label-1363395' class=' answer'><span>Coefficients, p-values, and R-squared<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348926[]' id='answer-id-1363396' class='answer   answerof-348926 ' value='1363396'   \/><label for='answer-id-1363396' id='answer-label-1363396' class=' answer'><span>Maximum depth and minimum leaf size<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348926[]' id='answer-id-1363397' class='answer   answerof-348926 ' value='1363397'   \/><label for='answer-id-1363397' id='answer-label-1363397' class=' answer'><span>Confusion matrix and accuracy<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-19' style=';'><div id='questionWrap-19'  class='   watupro-question-id-348927'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>What is the primary purpose of scoring functionality in SAS Visual Statistics?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='348927' \/><input type='hidden' id='answerType348927' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348927[]' id='answer-id-1363398' class='answer   answerof-348927 ' value='1363398'   \/><label for='answer-id-1363398' id='answer-label-1363398' class=' answer'><span>To evaluate model performance on a test dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348927[]' id='answer-id-1363399' class='answer   answerof-348927 ' value='1363399'   \/><label for='answer-id-1363399' id='answer-label-1363399' class=' answer'><span>To generate code for deploying models in production<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348927[]' id='answer-id-1363400' class='answer   answerof-348927 ' value='1363400'   \/><label for='answer-id-1363400' id='answer-label-1363400' class=' answer'><span>To assess the distribution of predictor variables<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348927[]' id='answer-id-1363401' class='answer   answerof-348927 ' value='1363401'   \/><label for='answer-id-1363401' id='answer-label-1363401' class=' answer'><span>To select the best model for a given dataset<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-20' style=';'><div id='questionWrap-20'  class='   watupro-question-id-348928'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>How can score code be implemented to score new data using SAS Enterprise Miner?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='348928' \/><input type='hidden' id='answerType348928' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348928[]' id='answer-id-1363402' class='answer   answerof-348928 ' value='1363402'   \/><label for='answer-id-1363402' id='answer-label-1363402' class=' answer'><span>By pasting the code into a web browser<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348928[]' id='answer-id-1363403' class='answer   answerof-348928 ' value='1363403'   \/><label for='answer-id-1363403' id='answer-label-1363403' class=' answer'><span>By importing the code into SAS Data Integration Studio<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348928[]' id='answer-id-1363404' class='answer   answerof-348928 ' value='1363404'   \/><label for='answer-id-1363404' id='answer-label-1363404' class=' answer'><span>By creating a scoring node in a SAS Enterprise Miner process flow<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348928[]' id='answer-id-1363405' class='answer   answerof-348928 ' value='1363405'   \/><label for='answer-id-1363405' id='answer-label-1363405' class=' answer'><span>By manually executing the code in a command-line interface<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-21' style=';'><div id='questionWrap-21'  class='   watupro-question-id-348929'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>What are the essentials of logistic regression?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='348929' \/><input type='hidden' id='answerType348929' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348929[]' id='answer-id-1363406' class='answer   answerof-348929 ' value='1363406'   \/><label for='answer-id-1363406' id='answer-label-1363406' class=' answer'><span>Modeling binary or ordinal outcomes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348929[]' id='answer-id-1363407' class='answer   answerof-348929 ' value='1363407'   \/><label for='answer-id-1363407' id='answer-label-1363407' class=' answer'><span>Estimating probabilities of categorical outcomes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348929[]' id='answer-id-1363408' class='answer   answerof-348929 ' value='1363408'   \/><label for='answer-id-1363408' id='answer-label-1363408' class=' answer'><span>Assuming a linear relationship between predictors and response<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348929[]' id='answer-id-1363409' class='answer   answerof-348929 ' value='1363409'   \/><label for='answer-id-1363409' id='answer-label-1363409' class=' answer'><span>Using the logit link function to model the probability of an event<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-22' style=';'><div id='questionWrap-22'  class='   watupro-question-id-348930'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>When assigning roles in a GLM, what does the &quot;offset&quot; variable typically represent?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='348930' \/><input type='hidden' id='answerType348930' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348930[]' id='answer-id-1363410' class='answer   answerof-348930 ' value='1363410'   \/><label for='answer-id-1363410' id='answer-label-1363410' class=' answer'><span>A predictor variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348930[]' id='answer-id-1363411' class='answer   answerof-348930 ' value='1363411'   \/><label for='answer-id-1363411' id='answer-label-1363411' class=' answer'><span>The target variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348930[]' id='answer-id-1363412' class='answer   answerof-348930 ' value='1363412'   \/><label for='answer-id-1363412' id='answer-label-1363412' class=' answer'><span>A variable with a known constant coefficient<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348930[]' id='answer-id-1363413' class='answer   answerof-348930 ' value='1363413'   \/><label for='answer-id-1363413' id='answer-label-1363413' class=' answer'><span>A variable used to adjust the intercept<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-23' style=';'><div id='questionWrap-23'  class='   watupro-question-id-348931'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>How is prediction typically performed in logistic regression?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='348931' \/><input type='hidden' id='answerType348931' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348931[]' id='answer-id-1363414' class='answer   answerof-348931 ' value='1363414'   \/><label for='answer-id-1363414' id='answer-label-1363414' class=' answer'><span>By calculating the mean of the response variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348931[]' id='answer-id-1363415' class='answer   answerof-348931 ' value='1363415'   \/><label for='answer-id-1363415' id='answer-label-1363415' class=' answer'><span>By estimating the probability of an event for each observation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348931[]' id='answer-id-1363416' class='answer   answerof-348931 ' value='1363416'   \/><label for='answer-id-1363416' id='answer-label-1363416' class=' answer'><span>By fitting a straight line through the data points<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348931[]' id='answer-id-1363417' class='answer   answerof-348931 ' value='1363417'   \/><label for='answer-id-1363417' id='answer-label-1363417' class=' answer'><span>By maximizing the likelihood of the response variable<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-24' style=';'><div id='questionWrap-24'  class='   watupro-question-id-348932'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>What properties can be assigned when comparing models in SAS Visual Statistics?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='348932' \/><input type='hidden' id='answerType348932' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348932[]' id='answer-id-1363418' class='answer   answerof-348932 ' value='1363418'   \/><label for='answer-id-1363418' id='answer-label-1363418' class=' answer'><span>The number of observations in the dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348932[]' id='answer-id-1363419' class='answer   answerof-348932 ' value='1363419'   \/><label for='answer-id-1363419' id='answer-label-1363419' class=' answer'><span>The variables to include in the model comparison<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348932[]' id='answer-id-1363420' class='answer   answerof-348932 ' value='1363420'   \/><label for='answer-id-1363420' id='answer-label-1363420' class=' answer'><span>The learning rate for gradient boosting models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348932[]' id='answer-id-1363421' class='answer   answerof-348932 ' value='1363421'   \/><label for='answer-id-1363421' id='answer-label-1363421' class=' answer'><span>The color scheme for visualization<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-25' style=';'><div id='questionWrap-25'  class='   watupro-question-id-348933'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='348933' \/><input type='hidden' id='answerType348933' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348933[]' id='answer-id-1363422' class='answer   answerof-348933 ' value='1363422'   \/><label for='answer-id-1363422' id='answer-label-1363422' class=' answer'><span>Dragging and dropping the score code file into the project<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348933[]' id='answer-id-1363423' class='answer   answerof-348933 ' value='1363423'   \/><label for='answer-id-1363423' id='answer-label-1363423' class=' answer'><span>Running a SQL query to generate predictions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348933[]' id='answer-id-1363424' class='answer   answerof-348933 ' value='1363424'   \/><label for='answer-id-1363424' id='answer-label-1363424' class=' answer'><span>Opening the code file and manually executing it<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348933[]' id='answer-id-1363425' class='answer   answerof-348933 ' value='1363425'   \/><label for='answer-id-1363425' id='answer-label-1363425' class=' answer'><span>Converting the code to a macro for automation<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-26' style=';'><div id='questionWrap-26'  class='   watupro-question-id-348934'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>In a generalized linear model, what is the role of the link function in transforming the linear predictor?<\/div><input type='hidden' name='question_id[]' id='qID_26' value='348934' \/><input type='hidden' id='answerType348934' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348934[]' id='answer-id-1363426' class='answer   answerof-348934 ' value='1363426'   \/><label for='answer-id-1363426' id='answer-label-1363426' class=' answer'><span>It determines the distribution of the response variable.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348934[]' id='answer-id-1363427' class='answer   answerof-348934 ' value='1363427'   \/><label for='answer-id-1363427' id='answer-label-1363427' class=' answer'><span>It scales the predictor variables.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348934[]' id='answer-id-1363428' class='answer   answerof-348934 ' value='1363428'   \/><label for='answer-id-1363428' id='answer-label-1363428' class=' answer'><span>It ensures that the linear predictor is always positive.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348934[]' id='answer-id-1363429' class='answer   answerof-348934 ' value='1363429'   \/><label for='answer-id-1363429' id='answer-label-1363429' class=' answer'><span>It maps the linear predictor to the range of the response variable.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-27' style=';'><div id='questionWrap-27'  class='   watupro-question-id-348935'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>A champion model has been selected and you want to export the score code. <br \/>\r<br>Score code is exported as:<\/div><input type='hidden' name='question_id[]' id='qID_27' value='348935' \/><input type='hidden' id='answerType348935' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348935[]' id='answer-id-1363430' class='answer   answerof-348935 ' value='1363430'   \/><label for='answer-id-1363430' id='answer-label-1363430' class=' answer'><span>PMML<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348935[]' id='answer-id-1363431' class='answer   answerof-348935 ' value='1363431'   \/><label for='answer-id-1363431' id='answer-label-1363431' class=' answer'><span>C<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348935[]' id='answer-id-1363432' class='answer   answerof-348935 ' value='1363432'   \/><label for='answer-id-1363432' id='answer-label-1363432' class=' answer'><span>SAS DS2<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348935[]' id='answer-id-1363433' class='answer   answerof-348935 ' value='1363433'   \/><label for='answer-id-1363433' id='answer-label-1363433' class=' answer'><span>SAS Data Step<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-28' style=';'><div id='questionWrap-28'  class='   watupro-question-id-348936'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>When specifying Cluster Roles for Cluster Analysis in SAS Visual Statistics, which condition is correct?<\/div><input type='hidden' name='question_id[]' id='qID_28' value='348936' \/><input type='hidden' id='answerType348936' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348936[]' id='answer-id-1363434' class='answer   answerof-348936 ' value='1363434'   \/><label for='answer-id-1363434' id='answer-label-1363434' class=' answer'><span>Interaction items are allowed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348936[]' id='answer-id-1363435' class='answer   answerof-348936 ' value='1363435'   \/><label for='answer-id-1363435' id='answer-label-1363435' class=' answer'><span>A target variable is required.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348936[]' id='answer-id-1363436' class='answer   answerof-348936 ' value='1363436'   \/><label for='answer-id-1363436' id='answer-label-1363436' class=' answer'><span>At least two variables are required.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348936[]' id='answer-id-1363437' class='answer   answerof-348936 ' value='1363437'   \/><label for='answer-id-1363437' id='answer-label-1363437' class=' answer'><span>Category items are not allowed.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-29' style=';'><div id='questionWrap-29'  class='   watupro-question-id-348937'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>What can you interpret from the Assessment panel in a decision tree analysis?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='348937' \/><input type='hidden' id='answerType348937' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348937[]' id='answer-id-1363438' class='answer   answerof-348937 ' value='1363438'   \/><label for='answer-id-1363438' id='answer-label-1363438' class=' answer'><span>The tree's structural properties, such as depth and number of nodes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348937[]' id='answer-id-1363439' class='answer   answerof-348937 ' value='1363439'   \/><label for='answer-id-1363439' id='answer-label-1363439' class=' answer'><span>The tree's training and validation performance metrics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348937[]' id='answer-id-1363440' class='answer   answerof-348937 ' value='1363440'   \/><label for='answer-id-1363440' id='answer-label-1363440' class=' answer'><span>The decision boundaries between leaf nodes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348937[]' id='answer-id-1363441' class='answer   answerof-348937 ' value='1363441'   \/><label for='answer-id-1363441' id='answer-label-1363441' class=' answer'><span>The feature importance for each variable in the tree<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-30' style=';'><div id='questionWrap-30'  class='   watupro-question-id-348938'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='348938' \/><input type='hidden' id='answerType348938' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348938[]' id='answer-id-1363442' class='answer   answerof-348938 ' value='1363442'   \/><label for='answer-id-1363442' id='answer-label-1363442' class=' answer'><span>Filter containers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348938[]' id='answer-id-1363443' class='answer   answerof-348938 ' value='1363443'   \/><label for='answer-id-1363443' id='answer-label-1363443' class=' answer'><span>Exclude option in filter dialogs<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348938[]' id='answer-id-1363444' class='answer   answerof-348938 ' value='1363444'   \/><label for='answer-id-1363444' id='answer-label-1363444' class=' answer'><span>Filtering using the toolbar options<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348938[]' id='answer-id-1363445' class='answer   answerof-348938 ' value='1363445'   \/><label for='answer-id-1363445' id='answer-label-1363445' class=' answer'><span>Interactive filters in the visualization<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-31' style=';'><div id='questionWrap-31'  class='   watupro-question-id-348939'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed. <br \/>\r<br>Which is the most efficient way to do that?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='348939' \/><input type='hidden' id='answerType348939' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348939[]' id='answer-id-1363446' class='answer   answerof-348939 ' value='1363446'   \/><label for='answer-id-1363446' id='answer-label-1363446' class=' answer'><span>Create aggregated measures using the Min and Max aggregations.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348939[]' id='answer-id-1363447' class='answer   answerof-348939 ' value='1363447'   \/><label for='answer-id-1363447' id='answer-label-1363447' class=' answer'><span>Select a histogram object for each measure.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348939[]' id='answer-id-1363448' class='answer   answerof-348939 ' value='1363448'   \/><label for='answer-id-1363448' id='answer-label-1363448' class=' answer'><span>Select View Measure Details within the Actions menu to the right of the dataset name.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348939[]' id='answer-id-1363449' class='answer   answerof-348939 ' value='1363449'   \/><label for='answer-id-1363449' id='answer-label-1363449' class=' answer'><span>Create a calculated item subtracting the Min aggregation from the Max aggregation.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-32' style=';'><div id='questionWrap-32'  class='   watupro-question-id-348940'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>When would you typically use a linear regression model instead of a generalized linear model (GLM)?<\/div><input type='hidden' name='question_id[]' id='qID_32' value='348940' \/><input type='hidden' id='answerType348940' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348940[]' id='answer-id-1363450' class='answer   answerof-348940 ' value='1363450'   \/><label for='answer-id-1363450' id='answer-label-1363450' class=' answer'><span>When the dependent variable is binary<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348940[]' id='answer-id-1363451' class='answer   answerof-348940 ' value='1363451'   \/><label for='answer-id-1363451' id='answer-label-1363451' class=' answer'><span>When there is no assumption of linearity in the data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348940[]' id='answer-id-1363452' class='answer   answerof-348940 ' value='1363452'   \/><label for='answer-id-1363452' id='answer-label-1363452' class=' answer'><span>When dealing with count data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348940[]' id='answer-id-1363453' class='answer   answerof-348940 ' value='1363453'   \/><label for='answer-id-1363453' id='answer-label-1363453' class=' answer'><span>When the goal is to model categorical outcomes<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-33' style=';'><div id='questionWrap-33'  class='   watupro-question-id-348941'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>How is the KS Statistic typically used when interpreting an ROC chart?<\/div><input type='hidden' name='question_id[]' id='qID_33' value='348941' \/><input type='hidden' id='answerType348941' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348941[]' id='answer-id-1363454' class='answer   answerof-348941 ' value='1363454'   \/><label for='answer-id-1363454' id='answer-label-1363454' class=' answer'><span>To measure the area under the ROC curve<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348941[]' id='answer-id-1363455' class='answer   answerof-348941 ' value='1363455'   \/><label for='answer-id-1363455' id='answer-label-1363455' class=' answer'><span>To assess the balance between sensitivity and specificity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348941[]' id='answer-id-1363456' class='answer   answerof-348941 ' value='1363456'   \/><label for='answer-id-1363456' id='answer-label-1363456' class=' answer'><span>To identify the optimal prediction cut-off threshold<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348941[]' id='answer-id-1363457' class='answer   answerof-348941 ' value='1363457'   \/><label for='answer-id-1363457' id='answer-label-1363457' class=' answer'><span>To evaluate the overall performance of a classification model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-34' style=';'><div id='questionWrap-34'  class='   watupro-question-id-348942'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>Interactions can be created and added to a linear regression model. <br \/>\r<br>Which statement is true about interactions?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='348942' \/><input type='hidden' id='answerType348942' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348942[]' id='answer-id-1363458' class='answer   answerof-348942 ' value='1363458'   \/><label for='answer-id-1363458' id='answer-label-1363458' class=' answer'><span>An interaction can be created for a squared category variable.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348942[]' id='answer-id-1363459' class='answer   answerof-348942 ' value='1363459'   \/><label for='answer-id-1363459' id='answer-label-1363459' class=' answer'><span>Measures and categories can be combined to create an interaction.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348942[]' id='answer-id-1363460' class='answer   answerof-348942 ' value='1363460'   \/><label for='answer-id-1363460' id='answer-label-1363460' class=' answer'><span>Each interaction is limited to 3 effects or fewer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348942[]' id='answer-id-1363461' class='answer   answerof-348942 ' value='1363461'   \/><label for='answer-id-1363461' id='answer-label-1363461' class=' answer'><span>The maximum number of interactions allowed in a model is 3.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-35' style=';'><div id='questionWrap-35'  class='   watupro-question-id-348943'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours. <br \/>\r<br>What effect will this have on any new explorations that your teammates create?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='348943' \/><input type='hidden' id='answerType348943' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348943[]' id='answer-id-1363462' class='answer   answerof-348943 ' value='1363462'   \/><label for='answer-id-1363462' id='answer-label-1363462' class=' answer'><span>It will delete all observations that do not match your region.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348943[]' id='answer-id-1363463' class='answer   answerof-348943 ' value='1363463'   \/><label for='answer-id-1363463' id='answer-label-1363463' class=' answer'><span>It will have no effect on any observations in the dataset.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348943[]' id='answer-id-1363464' class='answer   answerof-348943 ' value='1363464'   \/><label for='answer-id-1363464' id='answer-label-1363464' class=' answer'><span>It will suppress all observations that do not match your region.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348943[]' id='answer-id-1363465' class='answer   answerof-348943 ' value='1363465'   \/><label for='answer-id-1363465' id='answer-label-1363465' class=' answer'><span>It will suppress all observations that do not match their corresponding region.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-36' style=';'><div id='questionWrap-36'  class='   watupro-question-id-348944'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>Which statement is true for negative binomial and Poisson regression models?<\/div><input type='hidden' name='question_id[]' id='qID_36' value='348944' \/><input type='hidden' id='answerType348944' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348944[]' id='answer-id-1363466' class='answer   answerof-348944 ' value='1363466'   \/><label for='answer-id-1363466' id='answer-label-1363466' class=' answer'><span>Poisson regression models are used for count data, and negative binomial models are used for binary responses.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348944[]' id='answer-id-1363467' class='answer   answerof-348944 ' value='1363467'   \/><label for='answer-id-1363467' id='answer-label-1363467' class=' answer'><span>The canonical link function for Poisson regression is the log, while for negative binomial it is the logit.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348944[]' id='answer-id-1363468' class='answer   answerof-348944 ' value='1363468'   \/><label for='answer-id-1363468' id='answer-label-1363468' class=' answer'><span>Poisson regression is a special case of negative binomial regression.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348944[]' id='answer-id-1363469' class='answer   answerof-348944 ' value='1363469'   \/><label for='answer-id-1363469' id='answer-label-1363469' class=' answer'><span>Negative binomial models accommodate negative integers while Poisson regression does not.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-37' style=';'><div id='questionWrap-37'  class='   watupro-question-id-348945'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>In SAS Visual Statistics, which role is typically assigned to variables in cluster analysis?<\/div><input type='hidden' name='question_id[]' id='qID_37' value='348945' \/><input type='hidden' id='answerType348945' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348945[]' id='answer-id-1363470' class='answer   answerof-348945 ' value='1363470'   \/><label for='answer-id-1363470' id='answer-label-1363470' class=' answer'><span>Target<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348945[]' id='answer-id-1363471' class='answer   answerof-348945 ' value='1363471'   \/><label for='answer-id-1363471' id='answer-label-1363471' class=' answer'><span>Predictor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348945[]' id='answer-id-1363472' class='answer   answerof-348945 ' value='1363472'   \/><label for='answer-id-1363472' id='answer-label-1363472' class=' answer'><span>Input<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348945[]' id='answer-id-1363473' class='answer   answerof-348945 ' value='1363473'   \/><label for='answer-id-1363473' id='answer-label-1363473' class=' answer'><span>Output<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-38' style=';'><div id='questionWrap-38'  class='   watupro-question-id-348946'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>Which statement is true regarding the Cluster Analysis in SAS Visual Statistics?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='348946' \/><input type='hidden' id='answerType348946' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348946[]' id='answer-id-1363474' class='answer   answerof-348946 ' value='1363474'   \/><label for='answer-id-1363474' id='answer-label-1363474' class=' answer'><span>An observation can belong to more than one cluster.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348946[]' id='answer-id-1363475' class='answer   answerof-348946 ' value='1363475'   \/><label for='answer-id-1363475' id='answer-label-1363475' class=' answer'><span>Clusters may overlap in the Cluster Matrix plot.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348946[]' id='answer-id-1363476' class='answer   answerof-348946 ' value='1363476'   \/><label for='answer-id-1363476' id='answer-label-1363476' class=' answer'><span>SAS Visual Statistics creates a measure variable containing the cluster ID when you derive a Cluster ID variable.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348946[]' id='answer-id-1363477' class='answer   answerof-348946 ' value='1363477'   \/><label for='answer-id-1363477' id='answer-label-1363477' class=' answer'><span>You can derive a Cluster ID variable by right clicking on the Parallel Coordinates plot.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-39' style=';'><div id='questionWrap-39'  class='   watupro-question-id-348947'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?<\/div><input type='hidden' name='question_id[]' id='qID_39' value='348947' \/><input type='hidden' id='answerType348947' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348947[]' id='answer-id-1363478' class='answer   answerof-348947 ' value='1363478'   \/><label for='answer-id-1363478' id='answer-label-1363478' class=' answer'><span>By calculating the mean of the predictor variables<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348947[]' id='answer-id-1363479' class='answer   answerof-348947 ' value='1363479'   \/><label for='answer-id-1363479' id='answer-label-1363479' class=' answer'><span>By fitting a linear regression model to the data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348947[]' id='answer-id-1363480' class='answer   answerof-348947 ' value='1363480'   \/><label for='answer-id-1363480' id='answer-label-1363480' class=' answer'><span>By applying the link function to the linear predictor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348947[]' id='answer-id-1363481' class='answer   answerof-348947 ' value='1363481'   \/><label for='answer-id-1363481' id='answer-label-1363481' class=' answer'><span>By summing the residuals of the model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-40' style=';'><div id='questionWrap-40'  class='   watupro-question-id-348948'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>Given a scenario, what fit statistic can be used to select a champion model in model comparison?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='348948' \/><input type='hidden' id='answerType348948' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348948[]' id='answer-id-1363482' class='answer   answerof-348948 ' value='1363482'   \/><label for='answer-id-1363482' id='answer-label-1363482' class=' answer'><span>The p-value of the intercept term<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348948[]' id='answer-id-1363483' class='answer   answerof-348948 ' value='1363483'   \/><label for='answer-id-1363483' id='answer-label-1363483' class=' answer'><span>The R-squared value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348948[]' id='answer-id-1363484' class='answer   answerof-348948 ' value='1363484'   \/><label for='answer-id-1363484' id='answer-label-1363484' class=' answer'><span>The AUC (Area Under the Curve)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348948[]' id='answer-id-1363485' class='answer   answerof-348948 ' value='1363485'   \/><label for='answer-id-1363485' id='answer-label-1363485' class=' answer'><span>The learning rate of the model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-41' style=';'><div id='questionWrap-41'  class='   watupro-question-id-348949'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>41. <\/span>Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?<\/div><input type='hidden' name='question_id[]' id='qID_41' value='348949' \/><input type='hidden' id='answerType348949' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348949[]' id='answer-id-1363486' class='answer   answerof-348949 ' value='1363486'   \/><label for='answer-id-1363486' id='answer-label-1363486' class=' answer'><span>GAM assumes a strict linear relationship between the predictors and the response function.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348949[]' id='answer-id-1363487' class='answer   answerof-348949 ' value='1363487'   \/><label for='answer-id-1363487' id='answer-label-1363487' class=' answer'><span>The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348949[]' id='answer-id-1363488' class='answer   answerof-348949 ' value='1363488'   \/><label for='answer-id-1363488' id='answer-label-1363488' class=' answer'><span>Specification of a spline effect is optional.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348949[]' id='answer-id-1363489' class='answer   answerof-348949 ' value='1363489'   \/><label for='answer-id-1363489' id='answer-label-1363489' class=' answer'><span>A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-42' style=';'><div id='questionWrap-42'  class='   watupro-question-id-348950'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>42. <\/span>In linear regression, what does the coefficient of determination (R-squared) measure?<\/div><input type='hidden' name='question_id[]' id='qID_42' value='348950' \/><input type='hidden' id='answerType348950' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348950[]' id='answer-id-1363490' class='answer   answerof-348950 ' value='1363490'   \/><label for='answer-id-1363490' id='answer-label-1363490' class=' answer'><span>The degree of multicollinearity among predictors<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348950[]' id='answer-id-1363491' class='answer   answerof-348950 ' value='1363491'   \/><label for='answer-id-1363491' id='answer-label-1363491' class=' answer'><span>The goodness of fit of the model to the data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348950[]' id='answer-id-1363492' class='answer   answerof-348950 ' value='1363492'   \/><label for='answer-id-1363492' id='answer-label-1363492' class=' answer'><span>The impact of outliers on the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348950[]' id='answer-id-1363493' class='answer   answerof-348950 ' value='1363493'   \/><label for='answer-id-1363493' id='answer-label-1363493' class=' answer'><span>The p-value associated with the intercept term<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-43' style=';'><div id='questionWrap-43'  class='   watupro-question-id-348951'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>43. <\/span>What information can you interpret from a Cluster Matrix?<\/div><input type='hidden' name='question_id[]' id='qID_43' value='348951' \/><input type='hidden' id='answerType348951' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348951[]' id='answer-id-1363494' class='answer   answerof-348951 ' value='1363494'   \/><label for='answer-id-1363494' id='answer-label-1363494' class=' answer'><span>The number of data points in each cluster<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348951[]' id='answer-id-1363495' class='answer   answerof-348951 ' value='1363495'   \/><label for='answer-id-1363495' id='answer-label-1363495' class=' answer'><span>The proximity or similarity between clusters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348951[]' id='answer-id-1363496' class='answer   answerof-348951 ' value='1363496'   \/><label for='answer-id-1363496' id='answer-label-1363496' class=' answer'><span>The cluster centroids<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348951[]' id='answer-id-1363497' class='answer   answerof-348951 ' value='1363497'   \/><label for='answer-id-1363497' id='answer-label-1363497' class=' answer'><span>The order of cluster creation<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-44' style=';'><div id='questionWrap-44'  class='   watupro-question-id-348952'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>44. <\/span>Refer to the exhibit: <br \/>\r<br><br><img decoding=\"async\" width=649 height=307 id=\"\u56fe\u7247 42\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image007-12.jpg\"><br><br \/>\r<br>Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)<\/div><input type='hidden' name='question_id[]' id='qID_44' value='348952' \/><input type='hidden' id='answerType348952' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348952[]' id='answer-id-1363498' class='answer   answerof-348952 ' value='1363498'   \/><label for='answer-id-1363498' id='answer-label-1363498' class=' answer'><span>Logistic Regression model would be selected at lift=20<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348952[]' id='answer-id-1363499' class='answer   answerof-348952 ' value='1363499'   \/><label for='answer-id-1363499' id='answer-label-1363499' class=' answer'><span>Decision Tree model would be selected at lift=5<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348952[]' id='answer-id-1363500' class='answer   answerof-348952 ' value='1363500'   \/><label for='answer-id-1363500' id='answer-label-1363500' class=' answer'><span>Logistic Regression model would be selected at lift=5<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348952[]' id='answer-id-1363501' class='answer   answerof-348952 ' value='1363501'   \/><label for='answer-id-1363501' id='answer-label-1363501' class=' answer'><span>Decision Tree model would be selected at lift=20<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-45' style=';'><div id='questionWrap-45'  class='   watupro-question-id-348953'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>45. <\/span>When reviewing outlier details in linear regression, what factors should be considered when deciding whether to exclude outliers?<\/div><input type='hidden' name='question_id[]' id='qID_45' value='348953' \/><input type='hidden' id='answerType348953' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348953[]' id='answer-id-1363502' class='answer   answerof-348953 ' value='1363502'   \/><label for='answer-id-1363502' id='answer-label-1363502' class=' answer'><span>The magnitude of the outlier and its impact on the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348953[]' id='answer-id-1363503' class='answer   answerof-348953 ' value='1363503'   \/><label for='answer-id-1363503' id='answer-label-1363503' class=' answer'><span>The number of outliers in the dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348953[]' id='answer-id-1363504' class='answer   answerof-348953 ' value='1363504'   \/><label for='answer-id-1363504' id='answer-label-1363504' class=' answer'><span>The variable roles assigned to outliers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348953[]' id='answer-id-1363505' class='answer   answerof-348953 ' value='1363505'   \/><label for='answer-id-1363505' id='answer-label-1363505' class=' answer'><span>The p-values associated with the outliers<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-46' style=';'><div id='questionWrap-46'  class='   watupro-question-id-348954'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>46. <\/span>Given a scenario where the response variable represents the time until an event occurs, what distribution and link function might be appropriate for modeling?<\/div><input type='hidden' name='question_id[]' id='qID_46' value='348954' \/><input type='hidden' id='answerType348954' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348954[]' id='answer-id-1363506' class='answer   answerof-348954 ' value='1363506'   \/><label for='answer-id-1363506' id='answer-label-1363506' class=' answer'><span>Poisson distribution with a log link function<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348954[]' id='answer-id-1363507' class='answer   answerof-348954 ' value='1363507'   \/><label for='answer-id-1363507' id='answer-label-1363507' class=' answer'><span>Normal distribution with an identity link function<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348954[]' id='answer-id-1363508' class='answer   answerof-348954 ' value='1363508'   \/><label for='answer-id-1363508' id='answer-label-1363508' class=' answer'><span>Exponential distribution with a log link function<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348954[]' id='answer-id-1363509' class='answer   answerof-348954 ' value='1363509'   \/><label for='answer-id-1363509' id='answer-label-1363509' class=' answer'><span>Logistic distribution with a logit link function<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-47' style=';'><div id='questionWrap-47'  class='   watupro-question-id-348955'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>47. <\/span>Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?<\/div><input type='hidden' name='question_id[]' id='qID_47' value='348955' \/><input type='hidden' id='answerType348955' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348955[]' id='answer-id-1363510' class='answer   answerof-348955 ' value='1363510'   \/><label for='answer-id-1363510' id='answer-label-1363510' class=' answer'><span>Supervised learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348955[]' id='answer-id-1363511' class='answer   answerof-348955 ' value='1363511'   \/><label for='answer-id-1363511' id='answer-label-1363511' class=' answer'><span>Semi-supervised learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348955[]' id='answer-id-1363512' class='answer   answerof-348955 ' value='1363512'   \/><label for='answer-id-1363512' id='answer-label-1363512' class=' answer'><span>Unsupervised learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348955[]' id='answer-id-1363513' class='answer   answerof-348955 ' value='1363513'   \/><label for='answer-id-1363513' id='answer-label-1363513' class=' answer'><span>Reinforcement learning<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-48' style=';'><div id='questionWrap-48'  class='   watupro-question-id-348956'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>48. <\/span>Which model does not produce score code?<\/div><input type='hidden' name='question_id[]' id='qID_48' value='348956' \/><input type='hidden' id='answerType348956' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348956[]' id='answer-id-1363514' class='answer   answerof-348956 ' value='1363514'   \/><label for='answer-id-1363514' id='answer-label-1363514' class=' answer'><span>Decision Tree using interactive mode<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348956[]' id='answer-id-1363515' class='answer   answerof-348956 ' value='1363515'   \/><label for='answer-id-1363515' id='answer-label-1363515' class=' answer'><span>Regression using interaction effects<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348956[]' id='answer-id-1363516' class='answer   answerof-348956 ' value='1363516'   \/><label for='answer-id-1363516' id='answer-label-1363516' class=' answer'><span>Regression using the group by option<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348956[]' id='answer-id-1363517' class='answer   answerof-348956 ' value='1363517'   \/><label for='answer-id-1363517' id='answer-label-1363517' class=' answer'><span>Decision Tree using the rapid growth option<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-49' style=';'><div id='questionWrap-49'  class='   watupro-question-id-348957'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>49. <\/span>Refer to the exhibit from a linear regression model in SAS Visual Statistics. <br \/>\r<br><br><img decoding=\"async\" width=599 height=177 id=\"\u56fe\u7247 41\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image008-11.jpg\"><br><br \/>\r<br>Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?<\/div><input type='hidden' name='question_id[]' id='qID_49' value='348957' \/><input type='hidden' id='answerType348957' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348957[]' id='answer-id-1363518' class='answer   answerof-348957 ' value='1363518'   \/><label for='answer-id-1363518' id='answer-label-1363518' class=' answer'><span>The Intercept is an important predictor of the response.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348957[]' id='answer-id-1363519' class='answer   answerof-348957 ' value='1363519'   \/><label for='answer-id-1363519' id='answer-label-1363519' class=' answer'><span>RestPulse is a significant predictor of the response.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348957[]' id='answer-id-1363520' class='answer   answerof-348957 ' value='1363520'   \/><label for='answer-id-1363520' id='answer-label-1363520' class=' answer'><span>For one one-unit increase in RunTime, there is an expected increase in the response of 2.6287.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348957[]' id='answer-id-1363521' class='answer   answerof-348957 ' value='1363521'   \/><label for='answer-id-1363521' id='answer-label-1363521' class=' answer'><span>For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-50' style=';'><div id='questionWrap-50'  class='   watupro-question-id-348958'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>50. <\/span>Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?<\/div><input type='hidden' name='question_id[]' id='qID_50' value='348958' \/><input type='hidden' id='answerType348958' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348958[]' id='answer-id-1363522' class='answer   answerof-348958 ' value='1363522'   \/><label for='answer-id-1363522' id='answer-label-1363522' class=' answer'><span>Likelihood Displacement<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348958[]' id='answer-id-1363523' class='answer   answerof-348958 ' value='1363523'   \/><label for='answer-id-1363523' id='answer-label-1363523' class=' answer'><span>AIC<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348958[]' id='answer-id-1363524' class='answer   answerof-348958 ' value='1363524'   \/><label for='answer-id-1363524' id='answer-label-1363524' class=' answer'><span>Adjusted R-Squared<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348958[]' id='answer-id-1363525' class='answer   answerof-348958 ' value='1363525'   \/><label for='answer-id-1363525' id='answer-label-1363525' class=' answer'><span>Concordance<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-51' style=';'><div id='questionWrap-51'  class='   watupro-question-id-348959'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>51. <\/span>How can you appropriately change the number of clusters in a k-means cluster analysis?<\/div><input type='hidden' name='question_id[]' id='qID_51' value='348959' \/><input type='hidden' id='answerType348959' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348959[]' id='answer-id-1363526' class='answer   answerof-348959 ' value='1363526'   \/><label for='answer-id-1363526' id='answer-label-1363526' class=' answer'><span>By adjusting the learning rate<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348959[]' id='answer-id-1363527' class='answer   answerof-348959 ' value='1363527'   \/><label for='answer-id-1363527' id='answer-label-1363527' class=' answer'><span>By modifying the random seed<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348959[]' id='answer-id-1363528' class='answer   answerof-348959 ' value='1363528'   \/><label for='answer-id-1363528' id='answer-label-1363528' class=' answer'><span>By changing the K-value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348959[]' id='answer-id-1363529' class='answer   answerof-348959 ' value='1363529'   \/><label for='answer-id-1363529' id='answer-label-1363529' class=' answer'><span>By increasing the number of iterations<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-52' style=';'><div id='questionWrap-52'  class='   watupro-question-id-348960'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>52. <\/span>Refer to the exhibit from SAS Visual Statistics: <br \/>\r<br><br><img decoding=\"async\" width=550 height=322 id=\"\u56fe\u7247 40\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image009-12.jpg\"><br><br \/>\r<br>What can be concluded from the lift plot shown in the exhibit?<\/div><input type='hidden' name='question_id[]' id='qID_52' value='348960' \/><input type='hidden' id='answerType348960' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348960[]' id='answer-id-1363530' class='answer   answerof-348960 ' value='1363530'   \/><label for='answer-id-1363530' id='answer-label-1363530' class=' answer'><span>The 20% of cases with the highest predicted probability of the modeled event level is expected to capture 2.75 times as many events as a random sample of the same size.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348960[]' id='answer-id-1363531' class='answer   answerof-348960 ' value='1363531'   \/><label for='answer-id-1363531' id='answer-label-1363531' class=' answer'><span>The response rate for the best 20% is predicted to increase 5 times under the fitted model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348960[]' id='answer-id-1363532' class='answer   answerof-348960 ' value='1363532'   \/><label for='answer-id-1363532' id='answer-label-1363532' class=' answer'><span>The 20% of cases with the lowest predicted probability of the modeled event level is predicted to capture 2.75 times as many events as a random sample of 20%.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348960[]' id='answer-id-1363533' class='answer   answerof-348960 ' value='1363533'   \/><label for='answer-id-1363533' id='answer-label-1363533' class=' answer'><span>The response rate for the best 20% is predicted to be 2.75 times greater than the sample fitted in the model.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-53' style=';'><div id='questionWrap-53'  class='   watupro-question-id-348961'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>53. <\/span>What is the primary goal of linear models in statistical modeling?<\/div><input type='hidden' name='question_id[]' id='qID_53' value='348961' \/><input type='hidden' id='answerType348961' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348961[]' id='answer-id-1363534' class='answer   answerof-348961 ' value='1363534'   \/><label for='answer-id-1363534' id='answer-label-1363534' class=' answer'><span>To predict categorical outcomes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348961[]' id='answer-id-1363535' class='answer   answerof-348961 ' value='1363535'   \/><label for='answer-id-1363535' id='answer-label-1363535' class=' answer'><span>To capture non-linear relationships in data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348961[]' id='answer-id-1363536' class='answer   answerof-348961 ' value='1363536'   \/><label for='answer-id-1363536' id='answer-label-1363536' class=' answer'><span>To establish a linear relationship between variables<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348961[]' id='answer-id-1363537' class='answer   answerof-348961 ' value='1363537'   \/><label for='answer-id-1363537' id='answer-label-1363537' class=' answer'><span>To classify data into distinct groups<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-54' style=';'><div id='questionWrap-54'  class='   watupro-question-id-348962'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>54. <\/span>What is the primary benefit of exporting score code for model deployment?<\/div><input type='hidden' name='question_id[]' id='qID_54' value='348962' \/><input type='hidden' id='answerType348962' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348962[]' id='answer-id-1363538' class='answer   answerof-348962 ' value='1363538'   \/><label for='answer-id-1363538' id='answer-label-1363538' class=' answer'><span>It allows for model performance assessment on a test dataset.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348962[]' id='answer-id-1363539' class='answer   answerof-348962 ' value='1363539'   \/><label for='answer-id-1363539' id='answer-label-1363539' class=' answer'><span>It enables scoring of new data without the need for SAS Visual Statistics.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348962[]' id='answer-id-1363540' class='answer   answerof-348962 ' value='1363540'   \/><label for='answer-id-1363540' id='answer-label-1363540' class=' answer'><span>It provides insights into the distribution of predictor variables.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348962[]' id='answer-id-1363541' class='answer   answerof-348962 ' value='1363541'   \/><label for='answer-id-1363541' id='answer-label-1363541' class=' answer'><span>It automatically generates new predictor variables.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-55' style=';'><div id='questionWrap-55'  class='   watupro-question-id-348963'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>55. <\/span>In decision tree modeling, what is the purpose of setting a minimum split count?<\/div><input type='hidden' name='question_id[]' id='qID_55' value='348963' \/><input type='hidden' id='answerType348963' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348963[]' id='answer-id-1363542' class='answer   answerof-348963 ' value='1363542'   \/><label for='answer-id-1363542' id='answer-label-1363542' class=' answer'><span>To prevent any splits in the tree<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348963[]' id='answer-id-1363543' class='answer   answerof-348963 ' value='1363543'   \/><label for='answer-id-1363543' id='answer-label-1363543' class=' answer'><span>To determine the maximum depth of the tree<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348963[]' id='answer-id-1363544' class='answer   answerof-348963 ' value='1363544'   \/><label for='answer-id-1363544' id='answer-label-1363544' class=' answer'><span>To specify the minimum number of data points required to perform a split<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348963[]' id='answer-id-1363545' class='answer   answerof-348963 ' value='1363545'   \/><label for='answer-id-1363545' id='answer-label-1363545' class=' answer'><span>To control the learning rate of the model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-56' style=';'><div id='questionWrap-56'  class='   watupro-question-id-348964'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>56. <\/span>Refer to the fit summary from in the exhibit below. <br \/>\r<br><br><img decoding=\"async\" width=651 height=304 id=\"\u56fe\u7247 39\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image010-12.jpg\"><br><br \/>\r<br>What can be concluded from the fit summary?<\/div><input type='hidden' name='question_id[]' id='qID_56' value='348964' \/><input type='hidden' id='answerType348964' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348964[]' id='answer-id-1363546' class='answer   answerof-348964 ' value='1363546'   \/><label for='answer-id-1363546' id='answer-label-1363546' class=' answer'><span>Job Type is not a significant predictor in this model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348964[]' id='answer-id-1363547' class='answer   answerof-348964 ' value='1363547'   \/><label for='answer-id-1363547' id='answer-label-1363547' class=' answer'><span>Job Type = Office has no important variables associated with it.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348964[]' id='answer-id-1363548' class='answer   answerof-348964 ' value='1363548'   \/><label for='answer-id-1363548' id='answer-label-1363548' class=' answer'><span>Debt to income ratio is a significant predictor when Job Type = Mgr.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348964[]' id='answer-id-1363549' class='answer   answerof-348964 ' value='1363549'   \/><label for='answer-id-1363549' id='answer-label-1363549' class=' answer'><span>Debt to income ratio is a significant predictor when Job Type = Sales.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-57' style=';'><div id='questionWrap-57'  class='   watupro-question-id-348965'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>57. <\/span>Refer to the exhibit: <br \/>\r<br><br><img decoding=\"async\" width=651 height=166 id=\"\u56fe\u7247 38\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image011-9.jpg\"><br><br \/>\r<br>A cluster has been created with four variables selected on the roles tab. <br \/>\r<br>Select the set of Parallel Coordinates Properties that would display the image in the exhibit. <br \/>\r<br>A) <br \/>\r<br><br><img decoding=\"async\" width=252 height=116 id=\"\u56fe\u7247 37\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image012-8.jpg\"><br><br \/>\r<br>B) <br \/>\r<br><br><img decoding=\"async\" width=251 height=116 id=\"\u56fe\u7247 36\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image013-9.jpg\"><br><br \/>\r<br>C) <br \/>\r<br><br><img decoding=\"async\" width=252 height=116 id=\"\u56fe\u7247 35\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image014-9.jpg\"><br><br \/>\r<br>D) <br \/>\r<br><br><img decoding=\"async\" width=251 height=116 id=\"\u56fe\u7247 34\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image015-7.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_57' value='348965' \/><input type='hidden' id='answerType348965' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348965[]' id='answer-id-1363550' class='answer   answerof-348965 ' value='1363550'   \/><label for='answer-id-1363550' id='answer-label-1363550' class=' answer'><span>Option A<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348965[]' id='answer-id-1363551' class='answer   answerof-348965 ' value='1363551'   \/><label for='answer-id-1363551' id='answer-label-1363551' class=' answer'><span>Option B<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348965[]' id='answer-id-1363552' class='answer   answerof-348965 ' value='1363552'   \/><label for='answer-id-1363552' id='answer-label-1363552' class=' answer'><span>Option C<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348965[]' id='answer-id-1363553' class='answer   answerof-348965 ' value='1363553'   \/><label for='answer-id-1363553' id='answer-label-1363553' class=' answer'><span>Option D<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-58' style=';'><div id='questionWrap-58'  class='   watupro-question-id-348966'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>58. <\/span>Refer to the exhibits: <br \/>\r<br><br><img decoding=\"async\" width=231 height=600 id=\"\u56fe\u7247 33\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image016-9.jpg\"><br><br \/>\r<br><br><img decoding=\"async\" width=548 height=319 id=\"\u56fe\u7247 32\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image017-10.jpg\"><br><br \/>\r<br>An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable. <br \/>\r<br>Why are there 6 cluster IDs in Exhibit 2 based on these settings?<\/div><input type='hidden' name='question_id[]' id='qID_58' value='348966' \/><input type='hidden' id='answerType348966' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348966[]' id='answer-id-1363554' class='answer   answerof-348966 ' value='1363554'   \/><label for='answer-id-1363554' id='answer-label-1363554' class=' answer'><span>Cluster Diagram Visible Roles setting is 6.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348966[]' id='answer-id-1363555' class='answer   answerof-348966 ' value='1363555'   \/><label for='answer-id-1363555' id='answer-label-1363555' class=' answer'><span>There are observations with missing values.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348966[]' id='answer-id-1363556' class='answer   answerof-348966 ' value='1363556'   \/><label for='answer-id-1363556' id='answer-label-1363556' class=' answer'><span>Variable Standardization has been chosen.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348966[]' id='answer-id-1363557' class='answer   answerof-348966 ' value='1363557'   \/><label for='answer-id-1363557' id='answer-label-1363557' class=' answer'><span>Parallel Coordinates Visible Roles setting is 6.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-59' style=';'><div id='questionWrap-59'  class='   watupro-question-id-348967'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>59. <\/span>You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales. <br \/>\r<br>Which option should you use?<\/div><input type='hidden' name='question_id[]' id='qID_59' value='348967' \/><input type='hidden' id='answerType348967' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348967[]' id='answer-id-1363558' class='answer   answerof-348967 ' value='1363558'   \/><label for='answer-id-1363558' id='answer-label-1363558' class=' answer'><span>Create an aggregated measure using the Avg aggregation on total amount of sales.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348967[]' id='answer-id-1363559' class='answer   answerof-348967 ' value='1363559'   \/><label for='answer-id-1363559' id='answer-label-1363559' class=' answer'><span>Create a calculated item that divides total amount of sales by the total amount of items sold.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348967[]' id='answer-id-1363560' class='answer   answerof-348967 ' value='1363560'   \/><label for='answer-id-1363560' id='answer-label-1363560' class=' answer'><span>Create a calculated item by duplicating the original model effect and changing its default aggregation to Average.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348967[]' id='answer-id-1363561' class='answer   answerof-348967 ' value='1363561'   \/><label for='answer-id-1363561' id='answer-label-1363561' class=' answer'><span>Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-60' style=';'><div id='questionWrap-60'  class='   watupro-question-id-348968'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>60. <\/span>What is one potential disadvantage of excessively deep decision trees?<\/div><input type='hidden' name='question_id[]' id='qID_60' value='348968' \/><input type='hidden' id='answerType348968' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348968[]' id='answer-id-1363562' class='answer   answerof-348968 ' value='1363562'   \/><label for='answer-id-1363562' id='answer-label-1363562' class=' answer'><span>Increased interpretability<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348968[]' id='answer-id-1363563' class='answer   answerof-348968 ' value='1363563'   \/><label for='answer-id-1363563' id='answer-label-1363563' class=' answer'><span>Overfitting to the training data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348968[]' id='answer-id-1363564' class='answer   answerof-348968 ' value='1363564'   \/><label for='answer-id-1363564' id='answer-label-1363564' class=' answer'><span>Faster prediction times<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348968[]' id='answer-id-1363565' class='answer   answerof-348968 ' value='1363565'   \/><label for='answer-id-1363565' id='answer-label-1363565' class=' answer'><span>Greater stability in the model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-61' style=';'><div id='questionWrap-61'  class='   watupro-question-id-348969'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>61. <\/span>During cluster creation, if the Variable Standardization option is selected, where in SAS Visual Statistics can you view the standardization formula?<\/div><input type='hidden' name='question_id[]' id='qID_61' value='348969' \/><input type='hidden' id='answerType348969' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348969[]' id='answer-id-1363566' class='answer   answerof-348969 ' value='1363566'   \/><label for='answer-id-1363566' id='answer-label-1363566' class=' answer'><span>score code<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348969[]' id='answer-id-1363567' class='answer   answerof-348969 ' value='1363567'   \/><label for='answer-id-1363567' id='answer-label-1363567' class=' answer'><span>cluster summary table<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348969[]' id='answer-id-1363568' class='answer   answerof-348969 ' value='1363568'   \/><label for='answer-id-1363568' id='answer-label-1363568' class=' answer'><span>cluster matrix plot<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348969[]' id='answer-id-1363569' class='answer   answerof-348969 ' value='1363569'   \/><label for='answer-id-1363569' id='answer-label-1363569' class=' answer'><span>parallel coordinates plot<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-62' style=';'><div id='questionWrap-62'  class='   watupro-question-id-348970'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>62. <\/span>When setting proper inputs for the k-means algorithm, what parameter represents the number of clusters to create?<\/div><input type='hidden' name='question_id[]' id='qID_62' value='348970' \/><input type='hidden' id='answerType348970' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348970[]' id='answer-id-1363570' class='answer   answerof-348970 ' value='1363570'   \/><label for='answer-id-1363570' id='answer-label-1363570' class=' answer'><span>Learning rate<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348970[]' id='answer-id-1363571' class='answer   answerof-348970 ' value='1363571'   \/><label for='answer-id-1363571' id='answer-label-1363571' class=' answer'><span>Random seed<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348970[]' id='answer-id-1363572' class='answer   answerof-348970 ' value='1363572'   \/><label for='answer-id-1363572' id='answer-label-1363572' class=' answer'><span>Cluster centroid initialization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348970[]' id='answer-id-1363573' class='answer   answerof-348970 ' value='1363573'   \/><label for='answer-id-1363573' id='answer-label-1363573' class=' answer'><span>K-value<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-63' style=';'><div id='questionWrap-63'  class='   watupro-question-id-348971'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>63. <\/span>What information is conveyed by a Summary bar in model assessment?<\/div><input type='hidden' name='question_id[]' id='qID_63' value='348971' \/><input type='hidden' id='answerType348971' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348971[]' id='answer-id-1363574' class='answer   answerof-348971 ' value='1363574'   \/><label for='answer-id-1363574' id='answer-label-1363574' class=' answer'><span>The standard deviation of the predictor variables<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348971[]' id='answer-id-1363575' class='answer   answerof-348971 ' value='1363575'   \/><label for='answer-id-1363575' id='answer-label-1363575' class=' answer'><span>The summary statistics of the response variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348971[]' id='answer-id-1363576' class='answer   answerof-348971 ' value='1363576'   \/><label for='answer-id-1363576' id='answer-label-1363576' class=' answer'><span>The performance metrics of the model, such as AUC and KS Statistic<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348971[]' id='answer-id-1363577' class='answer   answerof-348971 ' value='1363577'   \/><label for='answer-id-1363577' id='answer-label-1363577' class=' answer'><span>The distribution of residuals in the model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-64' style=';'><div id='questionWrap-64'  class='   watupro-question-id-348972'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>64. <\/span>How can you interpret a Parallel Coordinates plot in cluster analysis?<\/div><input type='hidden' name='question_id[]' id='qID_64' value='348972' \/><input type='hidden' id='answerType348972' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348972[]' id='answer-id-1363578' class='answer   answerof-348972 ' value='1363578'   \/><label for='answer-id-1363578' id='answer-label-1363578' class=' answer'><span>It shows the distribution of data within a cluster.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348972[]' id='answer-id-1363579' class='answer   answerof-348972 ' value='1363579'   \/><label for='answer-id-1363579' id='answer-label-1363579' class=' answer'><span>It visualizes the relationship between clusters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348972[]' id='answer-id-1363580' class='answer   answerof-348972 ' value='1363580'   \/><label for='answer-id-1363580' id='answer-label-1363580' class=' answer'><span>It displays the hierarchical structure of clusters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348972[]' id='answer-id-1363581' class='answer   answerof-348972 ' value='1363581'   \/><label for='answer-id-1363581' id='answer-label-1363581' class=' answer'><span>It provides a summary of cluster statistics.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-65' style=';'><div id='questionWrap-65'  class='   watupro-question-id-348973'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>65. <\/span>Prior to fitting a regression model, data binning of a continuous effect should be used for what purpose?<\/div><input type='hidden' name='question_id[]' id='qID_65' value='348973' \/><input type='hidden' id='answerType348973' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348973[]' id='answer-id-1363582' class='answer   answerof-348973 ' value='1363582'   \/><label for='answer-id-1363582' id='answer-label-1363582' class=' answer'><span>Improve the accuracy of your predictions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348973[]' id='answer-id-1363583' class='answer   answerof-348973 ' value='1363583'   \/><label for='answer-id-1363583' id='answer-label-1363583' class=' answer'><span>Reduce the impact of minor observation errors.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348973[]' id='answer-id-1363584' class='answer   answerof-348973 ' value='1363584'   \/><label for='answer-id-1363584' id='answer-label-1363584' class=' answer'><span>Reduce the cardinality of a continuous effect.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348973[]' id='answer-id-1363585' class='answer   answerof-348973 ' value='1363585'   \/><label for='answer-id-1363585' id='answer-label-1363585' class=' answer'><span>Gain information due to discretization.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-66' style=';'><div id='questionWrap-66'  class='   watupro-question-id-348974'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>66. <\/span>What is the purpose of reviewing Measure Details when preparing data for a model?<\/div><input type='hidden' name='question_id[]' id='qID_66' value='348974' \/><input type='hidden' id='answerType348974' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348974[]' id='answer-id-1363586' class='answer   answerof-348974 ' value='1363586'   \/><label for='answer-id-1363586' id='answer-label-1363586' class=' answer'><span>To check data types and formats of the measures<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348974[]' id='answer-id-1363587' class='answer   answerof-348974 ' value='1363587'   \/><label for='answer-id-1363587' id='answer-label-1363587' class=' answer'><span>To understand the level of measurement for each variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348974[]' id='answer-id-1363588' class='answer   answerof-348974 ' value='1363588'   \/><label for='answer-id-1363588' id='answer-label-1363588' class=' answer'><span>To identify missing values in the measures<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-348974[]' id='answer-id-1363589' class='answer   answerof-348974 ' value='1363589'   \/><label for='answer-id-1363589' id='answer-label-1363589' class=' answer'><span>To determine the aggregation method for measures<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-67' style=';'><div id='questionWrap-67'  class='   watupro-question-id-348975'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>67. <\/span>Interactive group-by analysis can be performed for each of the following in Visual Statistics except:<\/div><input type='hidden' name='question_id[]' id='qID_67' value='348975' \/><input type='hidden' id='answerType348975' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348975[]' id='answer-id-1363590' class='answer   answerof-348975 ' value='1363590'   \/><label for='answer-id-1363590' id='answer-label-1363590' class=' answer'><span>Logistic regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348975[]' id='answer-id-1363591' class='answer   answerof-348975 ' value='1363591'   \/><label for='answer-id-1363591' id='answer-label-1363591' class=' answer'><span>Linear regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348975[]' id='answer-id-1363592' class='answer   answerof-348975 ' value='1363592'   \/><label for='answer-id-1363592' id='answer-label-1363592' class=' answer'><span>Decision tree<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348975[]' id='answer-id-1363593' class='answer   answerof-348975 ' value='1363593'   \/><label for='answer-id-1363593' id='answer-label-1363593' class=' answer'><span>Generalized linear model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-68' style=';'><div id='questionWrap-68'  class='   watupro-question-id-348976'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>68. <\/span>Refer to the exhibit: <br \/>\r<br><br><img decoding=\"async\" width=540 height=418 id=\"\u56fe\u7247 31\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image018-10.jpg\"><br><br \/>\r<br>A retailer wants to use a decision tree to select one segment to mail 35,000 coupons to existing customers for a new line of organic products. <br \/>\r<br>Assuming that customers who have purchased organic products in the past are likely to want new organic products in the future, select the single best Leaf ID for the mailing.<\/div><input type='hidden' name='question_id[]' id='qID_68' value='348976' \/><input type='hidden' id='answerType348976' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348976[]' id='answer-id-1363594' class='answer   answerof-348976 ' value='1363594'   \/><label for='answer-id-1363594' id='answer-label-1363594' class=' answer'><span>18<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348976[]' id='answer-id-1363595' class='answer   answerof-348976 ' value='1363595'   \/><label for='answer-id-1363595' id='answer-label-1363595' class=' answer'><span>15<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348976[]' id='answer-id-1363596' class='answer   answerof-348976 ' value='1363596'   \/><label for='answer-id-1363596' id='answer-label-1363596' class=' answer'><span>17<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348976[]' id='answer-id-1363597' class='answer   answerof-348976 ' value='1363597'   \/><label for='answer-id-1363597' id='answer-label-1363597' class=' answer'><span>12<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-69' style=';'><div id='questionWrap-69'  class='   watupro-question-id-348977'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>69. <\/span>In the below linear regression results display, where would you click to access the parameter estimates? <br \/>\r<br><br><img decoding=\"async\" width=624 height=392 id=\"\u56fe\u7247 30\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/08\/image019-8.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_69' value='348977' \/><input type='hidden' id='answerType348977' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-348977[]' id='textarea_q_348977' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-70' style=';'><div id='questionWrap-70'  class='   watupro-question-id-348978'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>70. <\/span>What does the Variable Importance feature help with when choosing the best fitting group-by model?<\/div><input type='hidden' name='question_id[]' id='qID_70' value='348978' \/><input type='hidden' id='answerType348978' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348978[]' id='answer-id-1363599' class='answer   answerof-348978 ' value='1363599'   \/><label for='answer-id-1363599' id='answer-label-1363599' class=' answer'><span>Identifying the most influential predictors<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348978[]' id='answer-id-1363600' class='answer   answerof-348978 ' value='1363600'   \/><label for='answer-id-1363600' id='answer-label-1363600' class=' answer'><span>Assessing the significance of each predictor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348978[]' id='answer-id-1363601' class='answer   answerof-348978 ' value='1363601'   \/><label for='answer-id-1363601' id='answer-label-1363601' class=' answer'><span>Evaluating the multicollinearity among predictors<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-348978[]' id='answer-id-1363602' class='answer   answerof-348978 ' value='1363602'   \/><label for='answer-id-1363602' id='answer-label-1363602' class=' answer'><span>Understanding the distribution of the target variable<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-71'>\n\t<div class='question-content'>\n\t\t<img loading=\"lazy\" decoding=\"async\" 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