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SAS Institute A00-240 Exam Questions
SAS Institute Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Exam (Page 4 )

Updated On: 15-Feb-2026
Page 4 of 21
PDF with 99 Questions

In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?

  1. Training: 50% Validation: 0% Testing: 50%
  2. Training: 100% Validation: 0% Testing: 0%
  3. Training: 0% Validation: 100% Testing: 0%
  4. Training: 50% Validation: 50% Testing: 0%

Answer(s): D



Refer to the exhibit:


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

  1. Candidate 1, because the area outside the curve is greater
  2. Candidate 2, because the area under the curve is greater
  3. Candidate 1, because it is closer to the diagonal reference curve
  4. Candidate 2, because it shows less over fit than Candidate 1

Answer(s): B



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?

  1. Option A
  2. Option B
  3. Option C
  4. Option D

Answer(s): C



A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?

  1. Sensitivity and PV+
  2. Specificity and PV-
  3. PV+ and PV-
  4. Sensitivity and Specificity

Answer(s): D



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?

  1. X=40, Y=10
  2. X=.05, Y=10
  3. X=.05, Y=.40
  4. X=.10, Y=05

Answer(s): B






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