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Free SAS Institute A00-240 Practice Exam with Questions & Answers | Set: 3

Questions 21

Given the following output from the LOGISTIC procedure:

A00-240 Question 21

Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?

Options:
A.

Greatest: MBALeast: DOWN_AMT

B.

Greatest: MBALeast: CASH

C.

Greatest: DOWN_AMTLeast: CASH

D.

Greatest: DOWN_AMTLeast: HOME

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Questions 22

The selection criterion used in the forward selection method in the GLMSELECT procedure is:

Options:
A.

RSQ

B.

MSE

C.

R-squared

D.

AIC

Questions 23

While building a predictive model, median imputations are performed while preparing the training data.

How should the imputations be addressed in the validation data?

Options:
A.

The imputed values are irrelevant to the validation data, and are not used.

B.

The imputed values must be applied directly to the validation data without recalculation.

C.

The imputed values must be recalculated using the validation data.

D.

The imputed values must be recalculated using both the training and the validation data.

Questions 24

Refer to the exhibit:

A00-240 Question 24

The box plot was used to analyze daily sales data following three different ad campaigns.

The business analyst concludes that one of the assumptions of ANOVA was violated.

Which assumption has been violated and why?

Options:
A.

Normality, because Prob > F < .0001.

B.

Normality, because the interquartile ranges are different in different ad campaigns.

C.

Constant variance, because Prob > F < .0001.

D.

Constant variance, because the interquartile ranges are different in different ad campaigns.

Questions 25

Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?

Options:
A.

Use the SCORE statement in the LOGISTIC procedure.

B.

Augment the training data set with new observations and set their responses to missing.

C.

Augment the training data set with new observations and rerun the LOGISTIC procedure.

D.

Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.

Questions 26

The total modeling data has been split into training, validation, and test data.

What is the best data to use for model assessment?

Options:
A.

Training data

B.

Total data

C.

Test data

D.

Validation data

Questions 27

Refer to the ROC curve:

A00-240 Question 27

As you move along the curve, what changes?

Options:
A.

The priors in the population

B.

The true negative rate in the population

C.

The proportion of events in the training data

D.

The probability cutoff for scoring

Questions 28

Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?

Options:
A.

KS

B.

SBC

C.

Max EDF

D.

Brier Score

Questions 29

Refer to the exhibit:

A00-240 Question 29

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.

Based on the AIC statistic, which model is the champion model?

Options:
A.

Age Weight RunTime RunPulse MaxPulse

B.

Age Weight RunTime RunPulse RestPulse MaxPulse

C.

RestPulse

D.

RunTime

Exam Code: A00-240
Certification Provider: SAS Institute
Exam Name: SAS Statistical Business Analysis SAS9: Regression and Model
Last Update: Mar 23, 2025
Questions: 99

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