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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. A champion model has been selected and you want to export the score code.
Score code is exported as:

A) SAS DS2
B) PMML
C) SAS Data Step
D) C

2. Refer to the exhibit:

How many predictor variables would be included in the score code produced by this model?

A) 7
B) 5
C) 13
D) 8

3. What is the primary purpose of imputing a variable in SAS Visual Analytics?

A) To replace incorrect values
B) To create new variables
C) To remove missing values
D) To aggregate data

4. What is the primary purpose of concordance statistics in model comparison?

A) To calculate the p-values of predictor variables
B) To evaluate the relationship between two predictor variables
C) To measure the balance between sensitivity and specificity
D) To assess the multicollinearity among predictors

5. In linear regression modeling, what roles are typically assigned to variables?

A) Predictor, Response, and Interaction
B) Intercept, Slope, and Error
C) Dependent, Independent, and Categorical
D) Input, Target, and Nominal

Solutions: