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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit:

A retailer wants to use a decision tree to select one segment to mail 35,000 coupons to existing customers for a new line of organic products.
Assuming that customers who have purchased organic products in the past are likely to want new organic products in the future, select the single best Leaf ID for the mailing.

A) 12
B) 18
C) 17
D) 15

2. What is the primary goal of linear models in statistical modeling?

A) To establish a linear relationship between variables
B) To classify data into distinct groups
C) To capture non-linear relationships in data
D) To predict categorical outcomes

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

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

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

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

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

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

Solutions: