Most Recent SAS A00-240 Exam Questions & Answers

Prepare for the SAS Statistical Business Analysis SAS9: Regression and Model exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the SAS A00-240 exam and achieve success.

The questions for A00-240 were last updated on Jan 18, 2025.

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Question No. 1

This question will ask you to provide a missing option.

Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:

means Region / =levene ;

Atest

Badjust

Cvar

Dhovtest

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Correct Answer: D

Question No. 2

Screening for non-linearity in binary logistic regression can be achieved by visualizing:

AA scatter plot of binary response versus a predictor variable.

BA trend plot of empirical logit versus a predictor variable.

CA logistic regression plot of predicted probability values versus a predictor variable.

DA box plot of the odds ratio values versus a predictor variable.

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Correct Answer: B

Question No. 3

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. See the partial output below:

What is the most likely reason that the model fails to converge?

AThere is quasi-complete separation in the data.

BThere is collinearity among the predictors.

CThere are missing values in the data.

DThere are too many observations in the data.

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Correct Answer: A

Question No. 4

A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.

The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC.

Which SAS data steps will calculate the predicted probability of default on recent clients? (Choose two.)

AOption A

BOption B

COption C

DOption D

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Correct Answer: A, B

Question No. 5

Which characteristic of Studentized residuals indicate potential outliers?

AOnly studentized residuals greater than negative two

BOnly studentized residuals less than negative two and greater than two

COnly studentized residuals greater than two

DOnly studentized residuals less than two and greater than negative two

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Correct Answer: C

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