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Q25. The selection criterion used in the forward selection method in the REG procedure is:
A. Adjusted R-Square
B. SLE
C. Mallows' Cp
D. AIC
Answer: B
Q26. Refer to the following exhibit:
What is a correct interpretation of this graph?
A. The association between the continuous predictor and the binary response is quadratic.
B. The association between the continuous predictor and the log-odds is quadratic.
C. The association between the continuous predictor and the continuous response is quadratic.
D. The association between the binary predictor and the log-odds is quadratic.
Answer: B
Q27. Which SAS program will detect collinearity in a multiple regression application?
A. Option A
B. Option B
C. Option C
D. Option D
Answer: B
Q28. Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?
A. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.
B. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.
C. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.
D. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.
Answer: A
Q29. A linear model has the following characteristics:
✑ A dependent variable (y)
✑ Three continuous predictor variables (x1-x3)
✑ One categorical predictor variable (c1with 3 levels)
Which SAS program fits this model?
A. Option A
B. Option B
C. Option C
D. Option D
Answer: D
Q30. A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?
A. Sensitivity and PV+
B. Specificity and PV-
C. PV+ and PV-
D. Sensitivity and Specificity
Answer: D
Q31. There are missing values in the input variables for a regression application.
Which SAS procedure provides a viable solution?
A. GLM
B. VARCLUS
C. STDI2E
D. CLUSTER
Answer: C
Q32. 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. Depth
B. Sensitivity
C. Specificity
D. Positive predictive value
Answer: B