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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which SAS tool is suitable for creating complex data manipulation and transformation workflows in a visual interface?

A) SAS Visual Data Builder
B) SAS Visual Analytics
C) SAS Studio
D) SAS Enterprise Guide

2. What information is conveyed by a Summary bar in model assessment?

A) The performance metrics of the model, such as AUC and KS Statistic
B) The distribution of residuals in the model
C) The summary statistics of the response variable
D) The standard deviation of the predictor variables

3. 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 1.1 times better than a random sample of the same size
B) About 1.5 times better than a random sample of the same size
C) About 4 times better than a random sample of the same size
D) About 1.25 times better than a random sample of the same size

4. What does it mean to prune a decision tree?

A) To remove all leaf nodes and keep only the root node
B) To trim branches of the tree to reduce complexity and overfitting
C) To convert the decision tree into a random forest model
D) To increase the depth of the tree to improve accuracy

5. Given a scenario, what fit statistic can be used to select a champion model in model comparison?

A) The R-squared value
B) The AUC (Area Under the Curve)
C) The learning rate of the model
D) The p-value of the intercept term

Solutions: