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 Nov 17, 2024.

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Question No. 1

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. 2

Refer to the exhibit.

Output from a multiple linear regression analysis is shown.

What is the most appropriate statement concerning collinearity between the input variables?

ACollinearity is a problem since all variance inflation values are less than 10.

BCollinearity is not a problem since all variance inflation values are less than 10.

CCollinearity is not a problem since all Pr>|t| values are less than 0.05.

DCollinearity is a problem since all Pr>|t| values are less than 0.05.

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Correct Answer: C

Question No. 3

After performing an ANOVA test, an analyst has determined that a significant effect exists due to income. The analyst wants to compare each Income to all others and wants to control for experimentwise error.

Which GLM procedure statement would provide the most appropriate output?

Alsmeans Income / pdiff=control adjust=dunnett;

Blsmeans Income / pdiff=control adjust=t;

Clsmeans Income / pdiff=all adjust=tukey;

Dlsmeans Income / pdiff=all adjust=t;

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Correct Answer: A

Question No. 4

Including redundant input variables in a regression model can:

AStabilize parameter estimates and increase the risk of overfitting.

BDestabilize parameter estimates and increase the risk of overfitting.

CStabilize parameter estimates and decrease the risk of overfitting.

DDestabilize parameter estimates and decrease the risk of overfitting.

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Correct Answer: B

Question No. 5

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?

AIt violates assumptions of the model.

BIt requires extra computational effort and time.

CIt omits the training (and test) data sets from the benefits of the cleansing methods.

DThere is no ability to compare the effectiveness of different cleansing methods.

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Correct Answer: D

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