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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?

A) The predicted events increase and the predicted probabilities remain unchanged.
B) The predicted events remain unchanged and the predicted probabilities increase.
C) The predicted events decrease and the predicted probabilities remain unchanged.
D) The predicted events remain unchanged and the predicted probabilities decrease.

2. How is prediction typically performed in logistic regression?

A) By calculating the mean of the response variable
B) By maximizing the likelihood of the response variable
C) By fitting a straight line through the data points
D) By estimating the probability of an event for each observation

3. How can you interpret a Tree Map in the context of a decision tree?

A) It summarizes the performance metrics of the decision tree.
B) It shows the decision boundaries between classes.
C) It visualizes the distribution of data points in leaf nodes.
D) It displays the hierarchical structure of the decision tree.

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

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

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

Solutions: