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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When building a Generalized Linear Model in SAS Visual Statistics, which link function is available?

A) Gaussian
B) Poisson
C) Negative Binomial
D) Log

2. Explain what an icicle plot represents in decision tree analysis.

A) It summarizes the performance metrics of the decision tree.
B) It visualizes the distribution of data points in each leaf node.
C) It shows the feature importance for each variable in the tree.
D) It displays the hierarchical structure of the decision tree.

3. Which model does not produce score code?

A) Decision Tree using the rapid growth option
B) Decision Tree using interactive mode
C) Regression using the group by option
D) Regression using interaction effects

4. In decision tree modeling, what is the purpose of setting a minimum split count?

A) To control the learning rate of the model
B) To specify the minimum number of data points required to perform a split
C) To prevent any splits in the tree
D) To determine the maximum depth of the tree

5. Refer to the exhibit:

Using the lift chart above to evaluate a decision tree model where the event level is Purchase, what is the expected performance of the model for the best 20% of cases predicted?

A) About 1.25 times better than a random sample of the same size
B) About 4 times better than a random sample of the same size
C) About 1.5 times better than a random sample of the same size
D) About 1.1 times better than a random sample of the same size

Solutions: