SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

Question 1

Refer to the exhibit.

These graphs were created using the GLM procedure with the plots(only)=diagnostics option.
Which plot do you use to identify influential observations?

A. Cook's D by Observation

B. Residual by Predicted

C. Fit - Mean and Residual Plot

D. Residual by Quantile

Correct Answer: A

Question 2

Refer to the exhibit:

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?

A. Normality, because Prob > F < .0001.

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

C. Constant variance, because Prob > F < .0001.

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

Correct Answer: B

Question 3

Refer to the exhibit.

Based on the control plot, which conclusion is justified regarding the means of the response?

A. All groups are significantly different from each other.

B. 2XL is significantly different from all other groups.

C. Only XL and 2XL are not significantly different from each other.

D. No groups are significantly different from each other.

Correct Answer: C

Question 4

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?

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

B. It requires extra computational effort and time.

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

D. It violates assumptions of the model.

Correct Answer: A

Question 5

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

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

B. Use the SCORE statement in the LOGISTIC procedure.

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

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

Correct Answer: A

Question 6

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.)

A. Option D

B. Option B

C. Option A

D. Option C

Correct Answer: B,C

Question 7

Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

A. Candidate 2, because the area under the curve is greater

B. Candidate 2, because it shows less over fit than Candidate 1

C. Candidate 1, because it is closer to the diagonal reference curve

D. Candidate 1, because the area outside the curve is greater

Correct Answer: A

Question 8

The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

A. Score data=HYDIR.NEU_DATA output=scores;

B. Score data data=MYDIR.NEW_DATA out=scores;

C. Score data data=MYDIR.NEW_DATA output=scores;

D. Score data=MYDIR, NEW DATA out=scores;

Correct Answer: D

Question 9

Suppose training data are oversampled in the event group to make the number of events and non-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, "Classify data as an event if probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).
The following SAS program was used.

What does this program calculate?

A. Positive predictive value

B. Sensitivity

C. Depth

D. Specificity

Correct Answer: B

Question 10

Including redundant input variables in a regression model can:

A. Destabilize parameter estimates and increase the risk of overfitting.

B. Destabilize parameter estimates and decrease the risk of overfitting.

C. Stabilize parameter estimates and decrease the risk of overfitting.

D. Stabilize parameter estimates and increase the risk of overfitting.

Correct Answer: A

SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential - A00-240 Exam Practice Test

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