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

Last updated on June 20, 2026

97% Exam Compliance
99 Total Questions
1
Question
This question will ask you to provide a missing option. Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
means Region / =levene ;
Options
A hovtest
B test
C adjust
D var
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2
Question
A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable. Suppose there is a significant interaction between REGION and VALUE. What can you conclude?
Options
A Regions with higher average purchases have more medium value customers.
B More high value customers are found in some regions than others.
C The difference between average purchases for medium and high value customers depends on the region.
D Regions with higher average purchases have more high value customers.
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3
Question
An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.

What is the purpose of the training data set?
Options
A To build the predictive models.
B To provide an unbiased measure of assessment for the final model.
C To compare models and select and fine-tune the final model.
D To reduce total sample size to make computations more efficient.
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4
Question
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:

Exhibit

What X and Y values should be added to the program to correctly score the data?
Options
A X=40, Y=10
B X=.10, Y=05
C X=.05, Y=10
D X=.05, Y=.40
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5
Question
When working with smaller data sets (N<200), which method is preferred to perform honest assessment?
Options
A Use the AIC goodness of fit statistic
B Training: 40% Validation: 30% Testing: 30%
C K-fold cross validation
D Cross validation using 4th quartile observations
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