SAS Institute A00-240 - SAS Statistical Business Analysis Using SAS 9: Regression and Modeling Exam
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Total 100 questions
Question #11 (Topic: Single Topic)
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
A. Training: 50% Validation: 0% Testing: 50%
B. Training: 100% Validation: 0% Testing: 0%
C. Training: 0% Validation: 100% Testing: 0%
D. Training: 50% Validation: 50% Testing: 0%
Answer: D
Question #12 (Topic: Single Topic)
Refer to the exhibit:
Based upon the comparative ROC plot for two competing models, which is the champion model and why?
Based upon the comparative ROC plot for two competing models, which is the champion model and why?
A. Candidate 1, because the area outside the curve is greater
B. Candidate 2, because the area under the curve is greater
C. Candidate 1, because it is closer to the diagonal reference curve
D. Candidate 2, because it shows less over fit than Candidate 1
Answer: B
Question #13 (Topic: Single Topic)
A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The
company makes $500 revenue for each sale.
What is the profit matrix for a typical person in the population?
company makes $500 revenue for each sale.
What is the profit matrix for a typical person in the population?
A. Option A
B. Option B
C. Option C
D. Option D
Answer: C
Question #14 (Topic: Single Topic)
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?
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
Question #15 (Topic: Single Topic)
This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst
knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for
correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst
knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for
correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
A. X=40, Y=10
B. X=.05, Y=10
C. X=.05, Y=.40
D. X=.10, Y=05
Answer: B
