Most Recent SAS A00-240 Exam Dumps

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.

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The questions for A00-240 were last updated on Mar 2, 2026.

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Question No. 1

Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

AOUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.

BOUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities

COUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.

DOUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.

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Correct Answer: A

Question No. 2

Refer to the exhibit:

An analyst examined logistic regression models for predicting whether a customer would make a purchase. The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule, 25% of the customers who did not make a purchase are incorrectly classified as purchasers.

What can be concluded from the graph?

AAbout 25% of the customers who did make a purchase are correctly classified as making a purchase.

BAbout 50% of the customers who did make a purchase are correctly classified as making a purchase.

CAbout 85% of the customers who did make a purchase are correctly classified as making a purchase.

DAbout 95% of the customers who did make a purchase are correctly classified as making a purchase.

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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

Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.

Which statement is true?

AThe SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.

BThe SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.

CUnlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.

DThe SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.

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Correct Answer: A

Question No. 5

An analyst knows that the categorical predictor, storeId, is an important predictor of the target.

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.

What are the two most effective ways to address the problem? (Choose two.)

AEliminate store_id as a predictor in the model because it has too many levels to be feasible.

BCluster by using Greenacre's method to combine stores that are similar.

CUse subject matter expertise to combine stores that are similar.

DRandomly combine the stores into five groups to keep the stochastic variation among the observations intact.

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Correct Answer: B, C

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