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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. In a generalized linear model, what is the role of the link function in transforming the linear predictor?

A) It ensures that the linear predictor is always positive.
B) It scales the predictor variables.
C) It determines the distribution of the response variable.
D) It maps the linear predictor to the range of the response variable.

2. You would like to compare multiple models that you've built in SAS Visual Statistics.
Which parameters must be the same for all models being compared? (choose 3)

A) Data Source
B) Model Type
C) Link Function
D) Response Variable
E) Event Level
F) Assessment Bins

3. Refer to the following exhibit:

After creating a decision tree in SAS Visual Statistics, what is the value in deriving a Leaf ID Variable?

A) Use the leaf ID to identify clusters.
B) Use the leaf ID to identify the most important variables.
C) Use the leaf ID data item in filters in other types of visualizations.
D) Use the leaf ID to rank order by posterior probabilities.

4. When creating a Linear Regression, Category Variables can be used for Classification Effects and

A) Frequency
B) Response
C) Group-by
D) Continuous Effects

5. What is one advantage of using SAS Studio to score new data with exported score code?

A) It allows for direct integration with Hadoop clusters.
B) It requires no additional software installation.
C) It automatically optimizes the scoring process.
D) It provides advanced visualization capabilities.

Solutions: