{"id":5336,"date":"2020-04-03T03:12:35","date_gmt":"2020-04-03T03:12:35","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=5336"},"modified":"2020-04-03T03:14:42","modified_gmt":"2020-04-03T03:14:42","slug":"statistical-business-analyst-a00-240-exam-dumps-updated","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/statistical-business-analyst-a00-240-exam-dumps-updated.html","title":{"rendered":"Statistical Business Analyst A00-240 Exam Dumps Updated"},"content":{"rendered":"<p>A00-240 SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential exam is designed for SAS professionals who use SAS\/STAT software to conduct and interpret complex statistical data analysis. To pass A00-240 exam needs to get the valid A00-240 exam dumps. We have updated Statistical Business Analyst A00-240 Exam Dumps on April 1, 2020, which ensure that you can pass SAS Certification A00-240 Statistical Business Analyst exam.<\/p>\n<h2><span style=\"background-color: #ff0000;\">A00-240 SAS Statistical Business Analyst Free Dumps Online<\/span><\/h2>\n<script>\n  window.fbAsyncInit = function() {\n    FB.init({\n      appId            : '622169541470367',\n      autoLogAppEvents : true,\n      xfbml            : true,\n      version          : 'v3.1'\n    });\n  };\n\n  (function(d, s, id){\n     var js, fjs = d.getElementsByTagName(s)[0];\n     if (d.getElementById(id)) {return;}\n     js = d.createElement(s); js.id = id;\n     js.src = \"https:\/\/connect.facebook.net\/en_US\/sdk.js\";\n     fjs.parentNode.insertBefore(js, fjs);\n   }(document, 'script', 'facebook-jssdk'));\n<\/script><div id=\"watu_quiz\" class=\"quiz-area single-page-quiz\">\n<p><\/p><form action=\"\" method=\"post\" class=\"quiz-form \" id=\"quiz-2276\" >\n<div class='watu-question' id='question-1'><div class='question-content'><p><span class='watu_num'>1. <\/span>Refer to the ROC curve: <\/p>\n<p><img decoding=\"async\" width=473 height=471 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image002.jpg\" v:shapes=\"_x0000_i1025\"><\/p>\n<p>As you move along the curve, what changes?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126022' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519061' \/><div class='watu-question-choice'><input type='radio' name='answer-126022[]' id='answer-id-519061' class='answer answer-1  answerof-126022' value='519061' \/>&nbsp;<label for='answer-id-519061' id='answer-label-519061' class=' answer label-1'><span class='answer'>The priors in the population<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519062' \/><div class='watu-question-choice'><input type='radio' name='answer-126022[]' id='answer-id-519062' class='answer answer-1  answerof-126022' value='519062' \/>&nbsp;<label for='answer-id-519062' id='answer-label-519062' class=' answer label-1'><span class='answer'>The true negative rate in the population<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519063' \/><div class='watu-question-choice'><input type='radio' name='answer-126022[]' id='answer-id-519063' class='answer answer-1  answerof-126022' value='519063' \/>&nbsp;<label for='answer-id-519063' id='answer-label-519063' class=' answer label-1'><span class='answer'>The proportion of events in the training data<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519064' \/><div class='watu-question-choice'><input type='radio' name='answer-126022[]' id='answer-id-519064' class='answer answer-1  answerof-126022' value='519064' \/>&nbsp;<label for='answer-id-519064' id='answer-label-519064' class=' answer label-1'><span class='answer'>The probability cutoff for scoring<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType1' value='radio' class=''><\/div><div class='watu-question' id='question-2'><div class='question-content'><p><span class='watu_num'>2. <\/span>When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126023' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519065' \/><div class='watu-question-choice'><input type='radio' name='answer-126023[]' id='answer-id-519065' class='answer answer-2  answerof-126023' value='519065' \/>&nbsp;<label for='answer-id-519065' id='answer-label-519065' class=' answer label-2'><span class='answer'>The sample means from the validation data set are applied to the training and test data sets.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519066' \/><div class='watu-question-choice'><input type='radio' name='answer-126023[]' id='answer-id-519066' class='answer answer-2  answerof-126023' value='519066' \/>&nbsp;<label for='answer-id-519066' id='answer-label-519066' class=' answer label-2'><span class='answer'>The sample means from the training data set are applied to the validation and test data sets.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519067' \/><div class='watu-question-choice'><input type='radio' name='answer-126023[]' id='answer-id-519067' class='answer answer-2  answerof-126023' value='519067' \/>&nbsp;<label for='answer-id-519067' id='answer-label-519067' class=' answer label-2'><span class='answer'>The sample means from the test data set are applied to the training and validation data sets.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519068' \/><div class='watu-question-choice'><input type='radio' name='answer-126023[]' id='answer-id-519068' class='answer answer-2  answerof-126023' value='519068' \/>&nbsp;<label for='answer-id-519068' id='answer-label-519068' class=' answer label-2'><span class='answer'>The sample means from each partition of the data are applied to their own partition.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType2' value='radio' class=''><\/div><div class='watu-question' id='question-3'><div class='question-content'><p><span class='watu_num'>3. <\/span>An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.<br \/>\n<br \/>Which statement and option combination will generate these statistics?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126024' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519069' \/><div class='watu-question-choice'><input type='radio' name='answer-126024[]' id='answer-id-519069' class='answer answer-3  answerof-126024' value='519069' \/>&nbsp;<label for='answer-id-519069' id='answer-label-519069' class=' answer label-3'><span class='answer'>Score data=valid1 out=roc;<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519070' \/><div class='watu-question-choice'><input type='radio' name='answer-126024[]' id='answer-id-519070' class='answer answer-3  answerof-126024' value='519070' \/>&nbsp;<label for='answer-id-519070' id='answer-label-519070' class=' answer label-3'><span class='answer'>Score data=valid1 outroc=roc;<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519071' \/><div class='watu-question-choice'><input type='radio' name='answer-126024[]' id='answer-id-519071' class='answer answer-3  answerof-126024' value='519071' \/>&nbsp;<label for='answer-id-519071' id='answer-label-519071' class=' answer label-3'><span class='answer'>mode1 resp(event= &#8216;1&#8217;) = gender region\/outroc=roc;<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519072' \/><div class='watu-question-choice'><input type='radio' name='answer-126024[]' id='answer-id-519072' class='answer answer-3  answerof-126024' value='519072' \/>&nbsp;<label for='answer-id-519072' id='answer-label-519072' class=' answer label-3'><span class='answer'>mode1 resp(event&quot;1&quot;) = gender region\/ out=roc;<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType3' value='radio' class=''><\/div><div class='watu-question' id='question-4'><div class='question-content'><p><span class='watu_num'>4. <\/span>In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126025' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519073' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126025[]' id='answer-id-519073' class='answer answer-4  answerof-126025' value='519073' \/>&nbsp;<label for='answer-id-519073' id='answer-label-519073' class=' answer label-4'><span class='answer'>Simple random sampling without replacement<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519074' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126025[]' id='answer-id-519074' class='answer answer-4  answerof-126025' value='519074' \/>&nbsp;<label for='answer-id-519074' id='answer-label-519074' class=' answer label-4'><span class='answer'>Simple random sampling with replacement<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519075' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126025[]' id='answer-id-519075' class='answer answer-4  answerof-126025' value='519075' \/>&nbsp;<label for='answer-id-519075' id='answer-label-519075' class=' answer label-4'><span class='answer'>Stratified random sampling without replacement<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519076' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126025[]' id='answer-id-519076' class='answer answer-4  answerof-126025' value='519076' \/>&nbsp;<label for='answer-id-519076' id='answer-label-519076' class=' answer label-4'><span class='answer'>Sequential random sampling with replacement<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType4' value='checkbox' class=''><\/div><div class='watu-question' id='question-5'><div class='question-content'><p><span class='watu_num'>5. <\/span>Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county? <\/p>\n<p><img decoding=\"async\" width=649 height=418 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image004.jpg\" v:shapes=\"_x0000_i1026\"><\/p>\n<\/div><input type='hidden' name='question_id[]' value='126026' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519077' \/><div class='watu-question-choice'><input type='radio' name='answer-126026[]' id='answer-id-519077' class='answer answer-5  answerof-126026' value='519077' \/>&nbsp;<label for='answer-id-519077' id='answer-label-519077' class=' answer label-5'><span class='answer'>Option A<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519078' \/><div class='watu-question-choice'><input type='radio' name='answer-126026[]' id='answer-id-519078' class='answer answer-5  answerof-126026' value='519078' \/>&nbsp;<label for='answer-id-519078' id='answer-label-519078' class=' answer label-5'><span class='answer'>Option B<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519079' \/><div class='watu-question-choice'><input type='radio' name='answer-126026[]' id='answer-id-519079' class='answer answer-5  answerof-126026' value='519079' \/>&nbsp;<label for='answer-id-519079' id='answer-label-519079' class=' answer label-5'><span class='answer'>Option C<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519080' \/><div class='watu-question-choice'><input type='radio' name='answer-126026[]' id='answer-id-519080' class='answer answer-5  answerof-126026' value='519080' \/>&nbsp;<label for='answer-id-519080' id='answer-label-519080' class=' answer label-5'><span class='answer'>Option D<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType5' value='radio' class=''><\/div><div class='watu-question' id='question-6'><div class='question-content'><p><span class='watu_num'>6. <\/span>Refer to the lift chart: <\/p>\n<p><img decoding=\"async\" width=650 height=455 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image006.jpg\" v:shapes=\"_x0000_i1027\"><\/p>\n<p>At a depth of 0.1, Lift = 3.14.<br \/>\n<br \/>What does this mean?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126027' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519081' \/><div class='watu-question-choice'><input type='radio' name='answer-126027[]' id='answer-id-519081' class='answer answer-6  answerof-126027' value='519081' \/>&nbsp;<label for='answer-id-519081' id='answer-label-519081' class=' answer label-6'><span class='answer'>Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519082' \/><div class='watu-question-choice'><input type='radio' name='answer-126027[]' id='answer-id-519082' class='answer answer-6  answerof-126027' value='519082' \/>&nbsp;<label for='answer-id-519082' id='answer-label-519082' class=' answer label-6'><span class='answer'>Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519083' \/><div class='watu-question-choice'><input type='radio' name='answer-126027[]' id='answer-id-519083' class='answer answer-6  answerof-126027' value='519083' \/>&nbsp;<label for='answer-id-519083' id='answer-label-519083' class=' answer label-6'><span class='answer'>Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519084' \/><div class='watu-question-choice'><input type='radio' name='answer-126027[]' id='answer-id-519084' class='answer answer-6  answerof-126027' value='519084' \/>&nbsp;<label for='answer-id-519084' id='answer-label-519084' class=' answer label-6'><span class='answer'>Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType6' value='radio' class=''><\/div><div class='watu-question' id='question-7'><div class='question-content'><p><span class='watu_num'>7. <\/span>Refer to the lift chart: <\/p>\n<p><img decoding=\"async\" width=492 height=350 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image008.jpg\" v:shapes=\"_x0000_i1028\"><\/p>\n<p>What does the reference line at lift = 1 corresponds to?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126028' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519085' \/><div class='watu-question-choice'><input type='radio' name='answer-126028[]' id='answer-id-519085' class='answer answer-7  answerof-126028' value='519085' \/>&nbsp;<label for='answer-id-519085' id='answer-label-519085' class=' answer label-7'><span class='answer'>The predicted lift for the best 50% of validation data cases<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519086' \/><div class='watu-question-choice'><input type='radio' name='answer-126028[]' id='answer-id-519086' class='answer answer-7  answerof-126028' value='519086' \/>&nbsp;<label for='answer-id-519086' id='answer-label-519086' class=' answer label-7'><span class='answer'>The predicted lift if the entire population is scored as event cases<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519087' \/><div class='watu-question-choice'><input type='radio' name='answer-126028[]' id='answer-id-519087' class='answer answer-7  answerof-126028' value='519087' \/>&nbsp;<label for='answer-id-519087' id='answer-label-519087' class=' answer label-7'><span class='answer'>The predicted lift if none of the population are scored as event cases<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519088' \/><div class='watu-question-choice'><input type='radio' name='answer-126028[]' id='answer-id-519088' class='answer answer-7  answerof-126028' value='519088' \/>&nbsp;<label for='answer-id-519088' id='answer-label-519088' class=' answer label-7'><span class='answer'>The predicted lift if 50% of the population are randomly scored as event cases<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType7' value='radio' class=''><\/div><div class='watu-question' id='question-8'><div class='question-content'><p><span class='watu_num'>8. <\/span>Suppose training data are oversampled in the event group to make the number of events and non&shy;events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, &quot;Classify data as an event if probability is greater than 0.5.&quot; Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).<br \/>\n<br \/>The following SAS program was used. <\/p>\n<p><img decoding=\"async\" width=340 height=111 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image010.jpg\" v:shapes=\"_x0000_i1029\"><\/p>\n<p>What does this program calculate?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126029' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519089' \/><div class='watu-question-choice'><input type='radio' name='answer-126029[]' id='answer-id-519089' class='answer answer-8  answerof-126029' value='519089' \/>&nbsp;<label for='answer-id-519089' id='answer-label-519089' class=' answer label-8'><span class='answer'>Depth<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519090' \/><div class='watu-question-choice'><input type='radio' name='answer-126029[]' id='answer-id-519090' class='answer answer-8  answerof-126029' value='519090' \/>&nbsp;<label for='answer-id-519090' id='answer-label-519090' class=' answer label-8'><span class='answer'>Sensitivity<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519091' \/><div class='watu-question-choice'><input type='radio' name='answer-126029[]' id='answer-id-519091' class='answer answer-8  answerof-126029' value='519091' \/>&nbsp;<label for='answer-id-519091' id='answer-label-519091' class=' answer label-8'><span class='answer'>Specificity<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519092' \/><div class='watu-question-choice'><input type='radio' name='answer-126029[]' id='answer-id-519092' class='answer answer-8  answerof-126029' value='519092' \/>&nbsp;<label for='answer-id-519092' id='answer-label-519092' class=' answer label-8'><span class='answer'>Positive predictive value<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType8' value='radio' class=''><\/div><div class='watu-question' id='question-9'><div class='question-content'><p><span class='watu_num'>9. <\/span>Refer to the exhibit:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image012.jpg\" width=\"459\" height=\"633\" \/><\/p>\n<p>The plots represent two models, A and B, being fit to the same two data sets, training and validation.<\/p>\n<p>Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.<\/p>\n<p>Which of the two models should be selected and why?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126030' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='520283' \/><div class='watu-question-choice'><input type='radio' name='answer-126030[]' id='answer-id-520283' class='answer answer-9  answerof-126030' value='520283' \/>&nbsp;<label for='answer-id-520283' id='answer-label-520283' class=' answer label-9'><span class='answer'>Model A. It is more complex with a higher accuracy than model B on training data.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='520284' \/><div class='watu-question-choice'><input type='radio' name='answer-126030[]' id='answer-id-520284' class='answer answer-9  answerof-126030' value='520284' \/>&nbsp;<label for='answer-id-520284' id='answer-label-520284' class=' answer label-9'><span class='answer'>Model A. It performs better on the boundary for the training data.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='520285' \/><div class='watu-question-choice'><input type='radio' name='answer-126030[]' id='answer-id-520285' class='answer answer-9  answerof-126030' value='520285' \/>&nbsp;<label for='answer-id-520285' id='answer-label-520285' class=' answer label-9'><span class='answer'>Model B. It is more complex with a higher accuracy than model A on validation data.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='520286' \/><div class='watu-question-choice'><input type='radio' name='answer-126030[]' id='answer-id-520286' class='answer answer-9  answerof-126030' value='520286' \/>&nbsp;<label for='answer-id-520286' id='answer-label-520286' class=' answer label-9'><span class='answer'>Model B. It is simpler with a higher accuracy than model A on validation data.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType9' value='radio' class=''><\/div><div class='watu-question' id='question-10'><div class='question-content'><p><span class='watu_num'>10. <\/span>Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1\/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.<br \/>\n<br \/>Which SAS program computes the profit for each customer in the data set VALID? <\/p>\n<p><img decoding=\"async\" width=650 height=423 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image014.jpg\" v:shapes=\"_x0000_i1031\"><\/p>\n<\/div><input type='hidden' name='question_id[]' value='126031' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519094' \/><div class='watu-question-choice'><input type='radio' name='answer-126031[]' id='answer-id-519094' class='answer answer-10  answerof-126031' value='519094' \/>&nbsp;<label for='answer-id-519094' id='answer-label-519094' class=' answer label-10'><span class='answer'>Option A<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519095' \/><div class='watu-question-choice'><input type='radio' name='answer-126031[]' id='answer-id-519095' class='answer answer-10  answerof-126031' value='519095' \/>&nbsp;<label for='answer-id-519095' id='answer-label-519095' class=' answer label-10'><span class='answer'>Option B<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519096' \/><div class='watu-question-choice'><input type='radio' name='answer-126031[]' id='answer-id-519096' class='answer answer-10  answerof-126031' value='519096' \/>&nbsp;<label for='answer-id-519096' id='answer-label-519096' class=' answer label-10'><span class='answer'>Option C<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519097' \/><div class='watu-question-choice'><input type='radio' name='answer-126031[]' id='answer-id-519097' class='answer answer-10  answerof-126031' value='519097' \/>&nbsp;<label for='answer-id-519097' id='answer-label-519097' class=' answer label-10'><span class='answer'>Option D<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType10' value='radio' class=''><\/div><div class='watu-question' id='question-11'><div class='question-content'><p><span class='watu_num'>11. <\/span>In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126032' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519098' \/><div class='watu-question-choice'><input type='radio' name='answer-126032[]' id='answer-id-519098' class='answer answer-11  answerof-126032' value='519098' \/>&nbsp;<label for='answer-id-519098' id='answer-label-519098' class=' answer label-11'><span class='answer'>Training: 50% Validation: 0% Testing: 50%<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519099' \/><div class='watu-question-choice'><input type='radio' name='answer-126032[]' id='answer-id-519099' class='answer answer-11  answerof-126032' value='519099' \/>&nbsp;<label for='answer-id-519099' id='answer-label-519099' class=' answer label-11'><span class='answer'>Training: 100% Validation: 0% Testing: 0%<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519100' \/><div class='watu-question-choice'><input type='radio' name='answer-126032[]' id='answer-id-519100' class='answer answer-11  answerof-126032' value='519100' \/>&nbsp;<label for='answer-id-519100' id='answer-label-519100' class=' answer label-11'><span class='answer'>Training: 0% Validation: 100% Testing: 0%<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519101' \/><div class='watu-question-choice'><input type='radio' name='answer-126032[]' id='answer-id-519101' class='answer answer-11  answerof-126032' value='519101' \/>&nbsp;<label for='answer-id-519101' id='answer-label-519101' class=' answer label-11'><span class='answer'>Training: 50% Validation: 50% Testing: 0%<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType11' value='radio' class=''><\/div><div class='watu-question' id='question-12'><div class='question-content'><p><span class='watu_num'>12. <\/span>Refer to the exhibit: <\/p>\n<p><img decoding=\"async\" width=458 height=478 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image016.jpg\" v:shapes=\"_x0000_i1032\"><\/p>\n<p>Based upon the comparative ROC plot for two competing models, which is the champion model and why?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126033' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519102' \/><div class='watu-question-choice'><input type='radio' name='answer-126033[]' id='answer-id-519102' class='answer answer-12  answerof-126033' value='519102' \/>&nbsp;<label for='answer-id-519102' id='answer-label-519102' class=' answer label-12'><span class='answer'>Candidate 1, because the area outside the curve is greater<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519103' \/><div class='watu-question-choice'><input type='radio' name='answer-126033[]' id='answer-id-519103' class='answer answer-12  answerof-126033' value='519103' \/>&nbsp;<label for='answer-id-519103' id='answer-label-519103' class=' answer label-12'><span class='answer'>Candidate 2, because the area under the curve is greater<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519104' \/><div class='watu-question-choice'><input type='radio' name='answer-126033[]' id='answer-id-519104' class='answer answer-12  answerof-126033' value='519104' \/>&nbsp;<label for='answer-id-519104' id='answer-label-519104' class=' answer label-12'><span class='answer'>Candidate 1, because it is closer to the diagonal reference curve<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519105' \/><div class='watu-question-choice'><input type='radio' name='answer-126033[]' id='answer-id-519105' class='answer answer-12  answerof-126033' value='519105' \/>&nbsp;<label for='answer-id-519105' id='answer-label-519105' class=' answer label-12'><span class='answer'>Candidate 2, because it shows less over fit than Candidate 1<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType12' value='radio' class=''><\/div><div class='watu-question' id='question-13'><div class='question-content'><p><span class='watu_num'>13. <\/span>A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale.<br \/>\n<br \/>What is the profit matrix for a typical person in the population? <\/p>\n<p><img decoding=\"async\" width=323 height=424 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image018.jpg\" v:shapes=\"_x0000_i1033\"><\/p>\n<\/div><input type='hidden' name='question_id[]' value='126034' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519106' \/><div class='watu-question-choice'><input type='radio' name='answer-126034[]' id='answer-id-519106' class='answer answer-13  answerof-126034' value='519106' \/>&nbsp;<label for='answer-id-519106' id='answer-label-519106' class=' answer label-13'><span class='answer'>Option A<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519107' \/><div class='watu-question-choice'><input type='radio' name='answer-126034[]' id='answer-id-519107' class='answer answer-13  answerof-126034' value='519107' \/>&nbsp;<label for='answer-id-519107' id='answer-label-519107' class=' answer label-13'><span class='answer'>Option B<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519108' \/><div class='watu-question-choice'><input type='radio' name='answer-126034[]' id='answer-id-519108' class='answer answer-13  answerof-126034' value='519108' \/>&nbsp;<label for='answer-id-519108' id='answer-label-519108' class=' answer label-13'><span class='answer'>Option C<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519109' \/><div class='watu-question-choice'><input type='radio' name='answer-126034[]' id='answer-id-519109' class='answer answer-13  answerof-126034' value='519109' \/>&nbsp;<label for='answer-id-519109' id='answer-label-519109' class=' answer label-13'><span class='answer'>Option D<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType13' value='radio' class=''><\/div><div class='watu-question' id='question-14'><div class='question-content'><p><span class='watu_num'>14. <\/span>A confusion matrix is created for data that were oversampled due to a rare target.<br \/>\n<br \/>What values are not affected by this oversampling?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126035' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519110' \/><div class='watu-question-choice'><input type='radio' name='answer-126035[]' id='answer-id-519110' class='answer answer-14  answerof-126035' value='519110' \/>&nbsp;<label for='answer-id-519110' id='answer-label-519110' class=' answer label-14'><span class='answer'>Sensitivity and PV+<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519111' \/><div class='watu-question-choice'><input type='radio' name='answer-126035[]' id='answer-id-519111' class='answer answer-14  answerof-126035' value='519111' \/>&nbsp;<label for='answer-id-519111' id='answer-label-519111' class=' answer label-14'><span class='answer'>Specificity and PV&shy;<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519112' \/><div class='watu-question-choice'><input type='radio' name='answer-126035[]' id='answer-id-519112' class='answer answer-14  answerof-126035' value='519112' \/>&nbsp;<label for='answer-id-519112' id='answer-label-519112' class=' answer label-14'><span class='answer'>PV+ and PV&shy;<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519113' \/><div class='watu-question-choice'><input type='radio' name='answer-126035[]' id='answer-id-519113' class='answer answer-14  answerof-126035' value='519113' \/>&nbsp;<label for='answer-id-519113' id='answer-label-519113' class=' answer label-14'><span class='answer'>Sensitivity and Specificity<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType14' value='radio' class=''><\/div><div class='watu-question' id='question-15'><div class='question-content'><p><span class='watu_num'>15. <\/span>This question will ask you to provide missing code segments.<br \/>\n<br \/>A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company&#8217;s profit margin for correctly targeted events is nine times higher than the company&#8217;s loss for incorrectly targeted non-event.<br \/>\n<br \/>Given the following SAS program: <\/p>\n<p><img decoding=\"async\" width=650 height=130 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image020.jpg\" v:shapes=\"_x0000_i1034\"><\/p>\n<p>What X and Y values should be added to the program to correctly score the data?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126036' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519114' \/><div class='watu-question-choice'><input type='radio' name='answer-126036[]' id='answer-id-519114' class='answer answer-15  answerof-126036' value='519114' \/>&nbsp;<label for='answer-id-519114' id='answer-label-519114' class=' answer label-15'><span class='answer'>X=40, Y=10<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519115' \/><div class='watu-question-choice'><input type='radio' name='answer-126036[]' id='answer-id-519115' class='answer answer-15  answerof-126036' value='519115' \/>&nbsp;<label for='answer-id-519115' id='answer-label-519115' class=' answer label-15'><span class='answer'>X=.05, Y=10<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519116' \/><div class='watu-question-choice'><input type='radio' name='answer-126036[]' id='answer-id-519116' class='answer answer-15  answerof-126036' value='519116' \/>&nbsp;<label for='answer-id-519116' id='answer-label-519116' class=' answer label-15'><span class='answer'>X=.05, Y=.40<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519117' \/><div class='watu-question-choice'><input type='radio' name='answer-126036[]' id='answer-id-519117' class='answer answer-15  answerof-126036' value='519117' \/>&nbsp;<label for='answer-id-519117' id='answer-label-519117' class=' answer label-15'><span class='answer'>X=.10, Y=05<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType15' value='radio' class=''><\/div><div class='watu-question' id='question-16'><div class='question-content'><p><span class='watu_num'>16. <\/span>An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.<br \/>\n<br \/>What is the purpose of the training data set?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126037' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519118' \/><div class='watu-question-choice'><input type='radio' name='answer-126037[]' id='answer-id-519118' class='answer answer-16  answerof-126037' value='519118' \/>&nbsp;<label for='answer-id-519118' id='answer-label-519118' class=' answer label-16'><span class='answer'>To provide an unbiased measure of assessment for the final model.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519119' \/><div class='watu-question-choice'><input type='radio' name='answer-126037[]' id='answer-id-519119' class='answer answer-16  answerof-126037' value='519119' \/>&nbsp;<label for='answer-id-519119' id='answer-label-519119' class=' answer label-16'><span class='answer'>To compare models and select and fine-tune the final model.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519120' \/><div class='watu-question-choice'><input type='radio' name='answer-126037[]' id='answer-id-519120' class='answer answer-16  answerof-126037' value='519120' \/>&nbsp;<label for='answer-id-519120' id='answer-label-519120' class=' answer label-16'><span class='answer'>To reduce total sample size to make computations more efficient.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519121' \/><div class='watu-question-choice'><input type='radio' name='answer-126037[]' id='answer-id-519121' class='answer answer-16  answerof-126037' value='519121' \/>&nbsp;<label for='answer-id-519121' id='answer-label-519121' class=' answer label-16'><span class='answer'>To build the predictive models.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType16' value='radio' class=''><\/div><div class='watu-question' id='question-17'><div class='question-content'><p><span class='watu_num'>17. <\/span>Refer to the confusion matrix: Calculate the sensitivity. (0 &#8211; negative outcome, 1 &#8211; positive outcome) <\/p>\n<p><img decoding=\"async\" width=303 height=159 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image022.jpg\" v:shapes=\"_x0000_i1035\"><\/p>\n<p>Click the calculator button to display a calculator if needed.<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126038' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519122' \/><div class='watu-question-choice'><input type='radio' name='answer-126038[]' id='answer-id-519122' class='answer answer-17  answerof-126038' value='519122' \/>&nbsp;<label for='answer-id-519122' id='answer-label-519122' class=' answer label-17'><span class='answer'>25\/48<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519123' \/><div class='watu-question-choice'><input type='radio' name='answer-126038[]' id='answer-id-519123' class='answer answer-17  answerof-126038' value='519123' \/>&nbsp;<label for='answer-id-519123' id='answer-label-519123' class=' answer label-17'><span class='answer'>58\/102<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519124' \/><div class='watu-question-choice'><input type='radio' name='answer-126038[]' id='answer-id-519124' class='answer answer-17  answerof-126038' value='519124' \/>&nbsp;<label for='answer-id-519124' id='answer-label-519124' class=' answer label-17'><span class='answer'>25\/B9<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519125' \/><div class='watu-question-choice'><input type='radio' name='answer-126038[]' id='answer-id-519125' class='answer answer-17  answerof-126038' value='519125' \/>&nbsp;<label for='answer-id-519125' id='answer-label-519125' class=' answer label-17'><span class='answer'>58\/81<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType17' value='radio' class=''><\/div><div class='watu-question' id='question-18'><div class='question-content'><p><span class='watu_num'>18. <\/span>The total modeling data has been split into training, validation, and test data.<br \/>\n<br \/>What is the best data to use for model assessment?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126039' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519126' \/><div class='watu-question-choice'><input type='radio' name='answer-126039[]' id='answer-id-519126' class='answer answer-18  answerof-126039' value='519126' \/>&nbsp;<label for='answer-id-519126' id='answer-label-519126' class=' answer label-18'><span class='answer'>Training data<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519127' \/><div class='watu-question-choice'><input type='radio' name='answer-126039[]' id='answer-id-519127' class='answer answer-18  answerof-126039' value='519127' \/>&nbsp;<label for='answer-id-519127' id='answer-label-519127' class=' answer label-18'><span class='answer'>Total data<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519128' \/><div class='watu-question-choice'><input type='radio' name='answer-126039[]' id='answer-id-519128' class='answer answer-18  answerof-126039' value='519128' \/>&nbsp;<label for='answer-id-519128' id='answer-label-519128' class=' answer label-18'><span class='answer'>Test data<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519129' \/><div class='watu-question-choice'><input type='radio' name='answer-126039[]' id='answer-id-519129' class='answer answer-18  answerof-126039' value='519129' \/>&nbsp;<label for='answer-id-519129' id='answer-label-519129' class=' answer label-18'><span class='answer'>Validation data<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType18' value='radio' class=''><\/div><div class='watu-question' id='question-19'><div class='question-content'><p><span class='watu_num'>19. <\/span>What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126040' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519130' \/><div class='watu-question-choice'><input type='radio' name='answer-126040[]' id='answer-id-519130' class='answer answer-19  answerof-126040' value='519130' \/>&nbsp;<label for='answer-id-519130' id='answer-label-519130' class=' answer label-19'><span class='answer'>It violates assumptions of the model.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519131' \/><div class='watu-question-choice'><input type='radio' name='answer-126040[]' id='answer-id-519131' class='answer answer-19  answerof-126040' value='519131' \/>&nbsp;<label for='answer-id-519131' id='answer-label-519131' class=' answer label-19'><span class='answer'>It requires extra computational effort and time.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519132' \/><div class='watu-question-choice'><input type='radio' name='answer-126040[]' id='answer-id-519132' class='answer answer-19  answerof-126040' value='519132' \/>&nbsp;<label for='answer-id-519132' id='answer-label-519132' class=' answer label-19'><span class='answer'>It omits the training (and test) data sets from the benefits of the cleansing methods.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519133' \/><div class='watu-question-choice'><input type='radio' name='answer-126040[]' id='answer-id-519133' class='answer answer-19  answerof-126040' value='519133' \/>&nbsp;<label for='answer-id-519133' id='answer-label-519133' class=' answer label-19'><span class='answer'>There is no ability to compare the effectiveness of different cleansing methods.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType19' value='radio' class=''><\/div><div class='watu-question' id='question-20'><div class='question-content'><p><span class='watu_num'>20. <\/span>A company has branch offices in eight regions. Customers within each region are classified as either &quot;High Value&quot; or &quot;Medium Value&quot; and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.<br \/>\n<br \/>Suppose there is a significant interaction between REGION and VALUE.<br \/>\n<br \/>What can you conclude?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126041' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519134' \/><div class='watu-question-choice'><input type='radio' name='answer-126041[]' id='answer-id-519134' class='answer answer-20  answerof-126041' value='519134' \/>&nbsp;<label for='answer-id-519134' id='answer-label-519134' class=' answer label-20'><span class='answer'>More high value customers are found in some regions than others.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519135' \/><div class='watu-question-choice'><input type='radio' name='answer-126041[]' id='answer-id-519135' class='answer answer-20  answerof-126041' value='519135' \/>&nbsp;<label for='answer-id-519135' id='answer-label-519135' class=' answer label-20'><span class='answer'>The difference between average purchases for medium and high value customers depends on the region.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519136' \/><div class='watu-question-choice'><input type='radio' name='answer-126041[]' id='answer-id-519136' class='answer answer-20  answerof-126041' value='519136' \/>&nbsp;<label for='answer-id-519136' id='answer-label-519136' class=' answer label-20'><span class='answer'>Regions with higher average purchases have more high value customers.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519137' \/><div class='watu-question-choice'><input type='radio' name='answer-126041[]' id='answer-id-519137' class='answer answer-20  answerof-126041' value='519137' \/>&nbsp;<label for='answer-id-519137' id='answer-label-519137' class=' answer label-20'><span class='answer'>Regions with higher average purchases have more medium value customers.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType20' value='radio' class=''><\/div><div class='watu-question' id='question-21'><div class='question-content'><p><span class='watu_num'>21. <\/span>This question will ask you to provide a missing option.<br \/>\n<br \/>Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:<br \/>\n<br \/>means Region \/ &lt;insert option here&gt; =levene ;<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126042' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519138' \/><div class='watu-question-choice'><input type='radio' name='answer-126042[]' id='answer-id-519138' class='answer answer-21  answerof-126042' value='519138' \/>&nbsp;<label for='answer-id-519138' id='answer-label-519138' class=' answer label-21'><span class='answer'>test<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519139' \/><div class='watu-question-choice'><input type='radio' name='answer-126042[]' id='answer-id-519139' class='answer answer-21  answerof-126042' value='519139' \/>&nbsp;<label for='answer-id-519139' id='answer-label-519139' class=' answer label-21'><span class='answer'>adjust<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519140' \/><div class='watu-question-choice'><input type='radio' name='answer-126042[]' id='answer-id-519140' class='answer answer-21  answerof-126042' value='519140' \/>&nbsp;<label for='answer-id-519140' id='answer-label-519140' class=' answer label-21'><span class='answer'>var<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519141' \/><div class='watu-question-choice'><input type='radio' name='answer-126042[]' id='answer-id-519141' class='answer answer-21  answerof-126042' value='519141' \/>&nbsp;<label for='answer-id-519141' id='answer-label-519141' class=' answer label-21'><span class='answer'>hovtest<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType21' value='radio' class=''><\/div><div class='watu-question' id='question-22'><div class='question-content'><p><span class='watu_num'>22. <\/span>Refer to the exhibit. <\/p>\n<p><img decoding=\"async\" width=503 height=549 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image024.jpg\" v:shapes=\"_x0000_i1036\"><\/p>\n<p>Based on the control plot, which conclusion is justified regarding the means of the response?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126043' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519142' \/><div class='watu-question-choice'><input type='radio' name='answer-126043[]' id='answer-id-519142' class='answer answer-22  answerof-126043' value='519142' \/>&nbsp;<label for='answer-id-519142' id='answer-label-519142' class=' answer label-22'><span class='answer'>All groups are significantly different from each other.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519143' \/><div class='watu-question-choice'><input type='radio' name='answer-126043[]' id='answer-id-519143' class='answer answer-22  answerof-126043' value='519143' \/>&nbsp;<label for='answer-id-519143' id='answer-label-519143' class=' answer label-22'><span class='answer'>2XL is significantly different from all other groups.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519144' \/><div class='watu-question-choice'><input type='radio' name='answer-126043[]' id='answer-id-519144' class='answer answer-22  answerof-126043' value='519144' \/>&nbsp;<label for='answer-id-519144' id='answer-label-519144' class=' answer label-22'><span class='answer'>Only XL and 2XL are not significantly different from each other.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519145' \/><div class='watu-question-choice'><input type='radio' name='answer-126043[]' id='answer-id-519145' class='answer answer-22  answerof-126043' value='519145' \/>&nbsp;<label for='answer-id-519145' id='answer-label-519145' class=' answer label-22'><span class='answer'>No groups are significantly different from each other.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType22' value='radio' class=''><\/div><div class='watu-question' id='question-23'><div class='question-content'><p><span class='watu_num'>23. <\/span>Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company&#8217;s pre-assigned market segments and tested for difference in the customers&#8217; average intent to purchase.<br \/>\n<br \/>The following is the output from the GLM procedure: <\/p>\n<p><img decoding=\"async\" width=557 height=123 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image026.jpg\" v:shapes=\"_x0000_i1037\"><\/p>\n<p>What percentage of customers&#8217; intent to purchase is explained by market segment?<br \/>\n<br \/>Click the calculator button to display a calculator if needed.<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126044' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519146' \/><div class='watu-question-choice'><input type='radio' name='answer-126044[]' id='answer-id-519146' class='answer answer-23  answerof-126044' value='519146' \/>&nbsp;<label for='answer-id-519146' id='answer-label-519146' class=' answer label-23'><span class='answer'>&lt;0.01%<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519147' \/><div class='watu-question-choice'><input type='radio' name='answer-126044[]' id='answer-id-519147' class='answer answer-23  answerof-126044' value='519147' \/>&nbsp;<label for='answer-id-519147' id='answer-label-519147' class=' answer label-23'><span class='answer'>35%<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519148' \/><div class='watu-question-choice'><input type='radio' name='answer-126044[]' id='answer-id-519148' class='answer answer-23  answerof-126044' value='519148' \/>&nbsp;<label for='answer-id-519148' id='answer-label-519148' class=' answer label-23'><span class='answer'>65%<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519149' \/><div class='watu-question-choice'><input type='radio' name='answer-126044[]' id='answer-id-519149' class='answer answer-23  answerof-126044' value='519149' \/>&nbsp;<label for='answer-id-519149' id='answer-label-519149' class=' answer label-23'><span class='answer'>76%<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType23' value='radio' class=''><\/div><div class='watu-question' id='question-24'><div class='question-content'><p><span class='watu_num'>24. <\/span>Refer to the exhibit: <\/p>\n<p><img decoding=\"async\" width=539 height=404 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image028.jpg\" v:shapes=\"_x0000_i1038\"><\/p>\n<p>The box plot was used to analyze daily sales data following three different ad campaigns.<br \/>\n<br \/>The business analyst concludes that one of the assumptions of ANOVA was violated.<br \/>\n<br \/>Which assumption has been violated and why?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126045' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519150' \/><div class='watu-question-choice'><input type='radio' name='answer-126045[]' id='answer-id-519150' class='answer answer-24  answerof-126045' value='519150' \/>&nbsp;<label for='answer-id-519150' id='answer-label-519150' class=' answer label-24'><span class='answer'>Normality, because Prob &gt; F &lt; .0001.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519151' \/><div class='watu-question-choice'><input type='radio' name='answer-126045[]' id='answer-id-519151' class='answer answer-24  answerof-126045' value='519151' \/>&nbsp;<label for='answer-id-519151' id='answer-label-519151' class=' answer label-24'><span class='answer'>Normality, because the interquartile ranges are different in different ad campaigns.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519152' \/><div class='watu-question-choice'><input type='radio' name='answer-126045[]' id='answer-id-519152' class='answer answer-24  answerof-126045' value='519152' \/>&nbsp;<label for='answer-id-519152' id='answer-label-519152' class=' answer label-24'><span class='answer'>Constant variance, because Prob &gt; F &lt; .0001.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519153' \/><div class='watu-question-choice'><input type='radio' name='answer-126045[]' id='answer-id-519153' class='answer answer-24  answerof-126045' value='519153' \/>&nbsp;<label for='answer-id-519153' id='answer-label-519153' class=' answer label-24'><span class='answer'>Constant variance, because the interquartile ranges are different in different ad campaigns.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType24' value='radio' class=''><\/div><div class='watu-question' id='question-25'><div class='question-content'><p><span class='watu_num'>25. <\/span>Refer to the exhibit. <\/p>\n<p><img decoding=\"async\" width=540 height=405 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image030.jpg\" v:shapes=\"_x0000_i1039\"><\/p>\n<p>Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126046' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519154' \/><div class='watu-question-choice'><input type='radio' name='answer-126046[]' id='answer-id-519154' class='answer answer-25  answerof-126046' value='519154' \/>&nbsp;<label for='answer-id-519154' id='answer-label-519154' class=' answer label-25'><span class='answer'>Medium wrist size is significantly different than small wrist size.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519155' \/><div class='watu-question-choice'><input type='radio' name='answer-126046[]' id='answer-id-519155' class='answer answer-25  answerof-126046' value='519155' \/>&nbsp;<label for='answer-id-519155' id='answer-label-519155' class=' answer label-25'><span class='answer'>Large wrist size is significantly different than medium wrist size.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519156' \/><div class='watu-question-choice'><input type='radio' name='answer-126046[]' id='answer-id-519156' class='answer answer-25  answerof-126046' value='519156' \/>&nbsp;<label for='answer-id-519156' id='answer-label-519156' class=' answer label-25'><span class='answer'>Large wrist size is significantly different than small wrist size.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519157' \/><div class='watu-question-choice'><input type='radio' name='answer-126046[]' id='answer-id-519157' class='answer answer-25  answerof-126046' value='519157' \/>&nbsp;<label for='answer-id-519157' id='answer-label-519157' class=' answer label-25'><span class='answer'>There is no significant difference due to wrist size.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType25' value='radio' class=''><\/div><div class='watu-question' id='question-26'><div class='question-content'><p><span class='watu_num'>26. <\/span>An analyst compares the mean salaries of men and women working at a company.<br \/>\n<br \/>The SAS data set SALARY contains variables:<br \/>\n<br \/>&#8211; Gender (M or F)<br \/>\n<br \/>&#8211; Pay (dollars per year)<br \/>\n<br \/>Which SAS programs can be used to find the p-value for comparing men&#8217;s salaries with women&#8217;s salaries? (Choose two.) <\/p>\n<p><img decoding=\"async\" width=281 height=406 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image032.jpg\" v:shapes=\"_x0000_i1040\"><\/p>\n<\/div><input type='hidden' name='question_id[]' value='126047' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519158' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126047[]' id='answer-id-519158' class='answer answer-26  answerof-126047' value='519158' \/>&nbsp;<label for='answer-id-519158' id='answer-label-519158' class=' answer label-26'><span class='answer'>Option A<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519159' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126047[]' id='answer-id-519159' class='answer answer-26  answerof-126047' value='519159' \/>&nbsp;<label for='answer-id-519159' id='answer-label-519159' class=' answer label-26'><span class='answer'>Option B<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519160' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126047[]' id='answer-id-519160' class='answer answer-26  answerof-126047' value='519160' \/>&nbsp;<label for='answer-id-519160' id='answer-label-519160' class=' answer label-26'><span class='answer'>Option C<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519161' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126047[]' id='answer-id-519161' class='answer answer-26  answerof-126047' value='519161' \/>&nbsp;<label for='answer-id-519161' id='answer-label-519161' class=' answer label-26'><span class='answer'>Option D<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType26' value='checkbox' class=''><\/div><div class='watu-question' id='question-27'><div class='question-content'><p><span class='watu_num'>27. <\/span>Given the following GLM procedure output: <\/p>\n<p><img decoding=\"async\" width=460 height=133 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image034.jpg\" v:shapes=\"_x0000_i1041\"><\/p>\n<p>Which statement is correct at an alpha level of 0.05?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126048' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519162' \/><div class='watu-question-choice'><input type='radio' name='answer-126048[]' id='answer-id-519162' class='answer answer-27  answerof-126048' value='519162' \/>&nbsp;<label for='answer-id-519162' id='answer-label-519162' class=' answer label-27'><span class='answer'>School*Gender should be removed because it is non-significant.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519163' \/><div class='watu-question-choice'><input type='radio' name='answer-126048[]' id='answer-id-519163' class='answer answer-27  answerof-126048' value='519163' \/>&nbsp;<label for='answer-id-519163' id='answer-label-519163' class=' answer label-27'><span class='answer'>Gender should be removed because it is non-significant.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519164' \/><div class='watu-question-choice'><input type='radio' name='answer-126048[]' id='answer-id-519164' class='answer answer-27  answerof-126048' value='519164' \/>&nbsp;<label for='answer-id-519164' id='answer-label-519164' class=' answer label-27'><span class='answer'>School should be removed because it is significant.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519165' \/><div class='watu-question-choice'><input type='radio' name='answer-126048[]' id='answer-id-519165' class='answer answer-27  answerof-126048' value='519165' \/>&nbsp;<label for='answer-id-519165' id='answer-label-519165' class=' answer label-27'><span class='answer'>Gender should not be removed due to its involvement in the significant interaction.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType27' value='radio' class=''><\/div><div class='watu-question' id='question-28'><div class='question-content'><p><span class='watu_num'>28. <\/span>There are missing values in the input variables for a regression application.<br \/>\n<br \/>Which SAS procedure provides a viable solution?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126049' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519166' \/><div class='watu-question-choice'><input type='radio' name='answer-126049[]' id='answer-id-519166' class='answer answer-28  answerof-126049' value='519166' \/>&nbsp;<label for='answer-id-519166' id='answer-label-519166' class=' answer label-28'><span class='answer'>GLM<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519167' \/><div class='watu-question-choice'><input type='radio' name='answer-126049[]' id='answer-id-519167' class='answer answer-28  answerof-126049' value='519167' \/>&nbsp;<label for='answer-id-519167' id='answer-label-519167' class=' answer label-28'><span class='answer'>VARCLUS<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519168' \/><div class='watu-question-choice'><input type='radio' name='answer-126049[]' id='answer-id-519168' class='answer answer-28  answerof-126049' value='519168' \/>&nbsp;<label for='answer-id-519168' id='answer-label-519168' class=' answer label-28'><span class='answer'>STDI2E<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519169' \/><div class='watu-question-choice'><input type='radio' name='answer-126049[]' id='answer-id-519169' class='answer answer-28  answerof-126049' value='519169' \/>&nbsp;<label for='answer-id-519169' id='answer-label-519169' class=' answer label-28'><span class='answer'>CLUSTER<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType28' value='radio' class=''><\/div><div class='watu-question' id='question-29'><div class='question-content'><p><span class='watu_num'>29. <\/span>Screening for non-linearity in binary logistic regression can be achieved by visualizing:<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126050' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519170' \/><div class='watu-question-choice'><input type='radio' name='answer-126050[]' id='answer-id-519170' class='answer answer-29  answerof-126050' value='519170' \/>&nbsp;<label for='answer-id-519170' id='answer-label-519170' class=' answer label-29'><span class='answer'>A scatter plot of binary response versus a predictor variable.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519171' \/><div class='watu-question-choice'><input type='radio' name='answer-126050[]' id='answer-id-519171' class='answer answer-29  answerof-126050' value='519171' \/>&nbsp;<label for='answer-id-519171' id='answer-label-519171' class=' answer label-29'><span class='answer'>A trend plot of empirical logit versus a predictor variable.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519172' \/><div class='watu-question-choice'><input type='radio' name='answer-126050[]' id='answer-id-519172' class='answer answer-29  answerof-126050' value='519172' \/>&nbsp;<label for='answer-id-519172' id='answer-label-519172' class=' answer label-29'><span class='answer'>A logistic regression plot of predicted probability values versus a predictor variable.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519173' \/><div class='watu-question-choice'><input type='radio' name='answer-126050[]' id='answer-id-519173' class='answer answer-29  answerof-126050' value='519173' \/>&nbsp;<label for='answer-id-519173' id='answer-label-519173' class=' answer label-29'><span class='answer'>A box plot of the odds ratio values versus a predictor variable.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType29' value='radio' class=''><\/div><div class='watu-question' id='question-30'><div class='question-content'><p><span class='watu_num'>30. <\/span>Given the following SAS data set TEST: <\/p>\n<p><img decoding=\"async\" width=106 height=135 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image036.jpg\" v:shapes=\"_x0000_i1042\"><\/p>\n<p>Which SAS program is NOT a correct way to create dummy variables? <\/p>\n<p><img decoding=\"async\" width=504 height=802 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image038.jpg\" v:shapes=\"_x0000_i1043\"><\/p>\n<\/div><input type='hidden' name='question_id[]' value='126051' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519174' \/><div class='watu-question-choice'><input type='radio' name='answer-126051[]' id='answer-id-519174' class='answer answer-30  answerof-126051' value='519174' \/>&nbsp;<label for='answer-id-519174' id='answer-label-519174' class=' answer label-30'><span class='answer'>Option A<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519175' \/><div class='watu-question-choice'><input type='radio' name='answer-126051[]' id='answer-id-519175' class='answer answer-30  answerof-126051' value='519175' \/>&nbsp;<label for='answer-id-519175' id='answer-label-519175' class=' answer label-30'><span class='answer'>Option B<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519176' \/><div class='watu-question-choice'><input type='radio' name='answer-126051[]' id='answer-id-519176' class='answer answer-30  answerof-126051' value='519176' \/>&nbsp;<label for='answer-id-519176' id='answer-label-519176' class=' answer label-30'><span class='answer'>Option C<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519177' \/><div class='watu-question-choice'><input type='radio' name='answer-126051[]' id='answer-id-519177' class='answer answer-30  answerof-126051' value='519177' \/>&nbsp;<label for='answer-id-519177' id='answer-label-519177' class=' answer label-30'><span class='answer'>Option D<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType30' value='radio' class=''><\/div><div class='watu-question' id='question-31'><div class='question-content'><p><span class='watu_num'>31. <\/span>An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent.<br \/>\n<br \/>See the partial output below: <\/p>\n<p><img decoding=\"async\" width=255 height=397 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image040.jpg\" v:shapes=\"_x0000_i1044\"><\/p>\n<p>What is the most likely reason that the model fails to converge?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126052' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519178' \/><div class='watu-question-choice'><input type='radio' name='answer-126052[]' id='answer-id-519178' class='answer answer-31  answerof-126052' value='519178' \/>&nbsp;<label for='answer-id-519178' id='answer-label-519178' class=' answer label-31'><span class='answer'>There is quasi-complete separation in the data.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519179' \/><div class='watu-question-choice'><input type='radio' name='answer-126052[]' id='answer-id-519179' class='answer answer-31  answerof-126052' value='519179' \/>&nbsp;<label for='answer-id-519179' id='answer-label-519179' class=' answer label-31'><span class='answer'>There is collinearity among the predictors.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519180' \/><div class='watu-question-choice'><input type='radio' name='answer-126052[]' id='answer-id-519180' class='answer answer-31  answerof-126052' value='519180' \/>&nbsp;<label for='answer-id-519180' id='answer-label-519180' class=' answer label-31'><span class='answer'>There are missing values in the data.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519181' \/><div class='watu-question-choice'><input type='radio' name='answer-126052[]' id='answer-id-519181' class='answer answer-31  answerof-126052' value='519181' \/>&nbsp;<label for='answer-id-519181' id='answer-label-519181' class=' answer label-31'><span class='answer'>There are too many observations in the data.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType31' value='radio' class=''><\/div><div class='watu-question' id='question-32'><div class='question-content'><p><span class='watu_num'>32. <\/span>An analyst knows that the categorical predictor, storeId, is an important predictor of the target.<br \/>\n<br \/>However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.<br \/>\n<br \/>What are the two most effective ways to address the problem? (Choose two.)<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126053' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519182' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126053[]' id='answer-id-519182' class='answer answer-32  answerof-126053' value='519182' \/>&nbsp;<label for='answer-id-519182' id='answer-label-519182' class=' answer label-32'><span class='answer'>Eliminate store_id as a predictor in the model because it has too many levels to be feasible.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519183' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126053[]' id='answer-id-519183' class='answer answer-32  answerof-126053' value='519183' \/>&nbsp;<label for='answer-id-519183' id='answer-label-519183' class=' answer label-32'><span class='answer'>Cluster by using Greenacre&#8217;s method to combine stores that are similar.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519184' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126053[]' id='answer-id-519184' class='answer answer-32  answerof-126053' value='519184' \/>&nbsp;<label for='answer-id-519184' id='answer-label-519184' class=' answer label-32'><span class='answer'>Use subject matter expertise to combine stores that are similar.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519185' \/><div class='watu-question-choice'><input type='checkbox' name='answer-126053[]' id='answer-id-519185' class='answer answer-32  answerof-126053' value='519185' \/>&nbsp;<label for='answer-id-519185' id='answer-label-519185' class=' answer label-32'><span class='answer'>Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType32' value='checkbox' class=''><\/div><div class='watu-question' id='question-33'><div class='question-content'><p><span class='watu_num'>33. <\/span>Including redundant input variables in a regression model can:<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126054' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519186' \/><div class='watu-question-choice'><input type='radio' name='answer-126054[]' id='answer-id-519186' class='answer answer-33  answerof-126054' value='519186' \/>&nbsp;<label for='answer-id-519186' id='answer-label-519186' class=' answer label-33'><span class='answer'>Stabilize parameter estimates and increase the risk of overfitting.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519187' \/><div class='watu-question-choice'><input type='radio' name='answer-126054[]' id='answer-id-519187' class='answer answer-33  answerof-126054' value='519187' \/>&nbsp;<label for='answer-id-519187' id='answer-label-519187' class=' answer label-33'><span class='answer'>Destabilize parameter estimates and increase the risk of overfitting.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519188' \/><div class='watu-question-choice'><input type='radio' name='answer-126054[]' id='answer-id-519188' class='answer answer-33  answerof-126054' value='519188' \/>&nbsp;<label for='answer-id-519188' id='answer-label-519188' class=' answer label-33'><span class='answer'>Stabilize parameter estimates and decrease the risk of overfitting.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519189' \/><div class='watu-question-choice'><input type='radio' name='answer-126054[]' id='answer-id-519189' class='answer answer-33  answerof-126054' value='519189' \/>&nbsp;<label for='answer-id-519189' id='answer-label-519189' class=' answer label-33'><span class='answer'>Destabilize parameter estimates and decrease the risk of overfitting.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType33' value='radio' class=''><\/div><div class='watu-question' id='question-34'><div class='question-content'><p><span class='watu_num'>34. <\/span>An analyst investigates Region (A, B, or C) as an input variable in a logistic regression model. The analyst discovers that the probability of purchasing a certain item when Region = A is 1.<br \/>\n<br \/>What problem does this illustrate?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126055' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519190' \/><div class='watu-question-choice'><input type='radio' name='answer-126055[]' id='answer-id-519190' class='answer answer-34  answerof-126055' value='519190' \/>&nbsp;<label for='answer-id-519190' id='answer-label-519190' class=' answer label-34'><span class='answer'>Collinearity<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519191' \/><div class='watu-question-choice'><input type='radio' name='answer-126055[]' id='answer-id-519191' class='answer answer-34  answerof-126055' value='519191' \/>&nbsp;<label for='answer-id-519191' id='answer-label-519191' class=' answer label-34'><span class='answer'>Influential observations<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519192' \/><div class='watu-question-choice'><input type='radio' name='answer-126055[]' id='answer-id-519192' class='answer answer-34  answerof-126055' value='519192' \/>&nbsp;<label for='answer-id-519192' id='answer-label-519192' class=' answer label-34'><span class='answer'>Quasi-complete separation<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519193' \/><div class='watu-question-choice'><input type='radio' name='answer-126055[]' id='answer-id-519193' class='answer answer-34  answerof-126055' value='519193' \/>&nbsp;<label for='answer-id-519193' id='answer-label-519193' class=' answer label-34'><span class='answer'>Problems that arise due to missing values<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType34' value='radio' class=''><\/div><div class='watu-question' id='question-35'><div class='question-content'><p><span class='watu_num'>35. <\/span>Refer to the following exhibit: <\/p>\n<p><img decoding=\"async\" width=508 height=383 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/A00-240%20V9.files\/image042.jpg\" v:shapes=\"_x0000_i1045\"><\/p>\n<p>What is a correct interpretation of this graph?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='126056' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519194' \/><div class='watu-question-choice'><input type='radio' name='answer-126056[]' id='answer-id-519194' class='answer answer-35  answerof-126056' value='519194' \/>&nbsp;<label for='answer-id-519194' id='answer-label-519194' class=' answer label-35'><span class='answer'>The association between the continuous predictor and the binary response is quadratic.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519195' \/><div class='watu-question-choice'><input type='radio' name='answer-126056[]' id='answer-id-519195' class='answer answer-35  answerof-126056' value='519195' \/>&nbsp;<label for='answer-id-519195' id='answer-label-519195' class=' answer label-35'><span class='answer'>The association between the continuous predictor and the log-odds is quadratic.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519196' \/><div class='watu-question-choice'><input type='radio' name='answer-126056[]' id='answer-id-519196' class='answer answer-35  answerof-126056' value='519196' \/>&nbsp;<label for='answer-id-519196' id='answer-label-519196' class=' answer label-35'><span class='answer'>The association between the continuous predictor and the continuous response is quadratic.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='519197' \/><div class='watu-question-choice'><input type='radio' name='answer-126056[]' id='answer-id-519197' class='answer answer-35  answerof-126056' value='519197' \/>&nbsp;<label for='answer-id-519197' id='answer-label-519197' class=' answer label-35'><span class='answer'>The association between the binary predictor and the log-odds is quadratic.<\/span><\/label><\/div>\n<\/div><input type='hidden' id='questionType35' value='radio' class=''><\/div><div style='display:none' id='question-36'><br \/><div class='question-content'><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watu\/loading.gif\" width=\"16\" height=\"16\" alt=\"Loading ...\" title=\"Loading ...\" \/>&nbsp;Loading &#8230;<\/div><\/div><br \/>\n<input type=\"button\" name=\"action\" onclick=\"Watu.submitResult()\" id=\"action-button\" value=\"Submit\"  class=\"watu-submit-button\" \/>\n<input type=\"hidden\" name=\"no_ajax\" value=\"0\"><input type=\"hidden\" name=\"quiz_id\" value=\"2276\" \/>\n<input type=\"hidden\" id=\"watuStartTime\" 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To pass A00-240 exam needs to get the valid A00-240 exam dumps. 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