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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. 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.

2. When evaluating a Misclassification plot, what does it typically show?

A) The trade-off between false positives and false negatives at different thresholds
B) The relationship between two predictor variables
C) The distribution of predictor variables in the dataset
D) The p-values associated with the predictor variables

3. Interactive group-by analysis can be performed for each of the following in Visual Statistics except:

A) Logistic regression
B) Linear regression
C) Decision tree
D) Generalized linear model

4. When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?

A) Running a SQL query to generate predictions
B) Converting the code to a macro for automation
C) Dragging and dropping the score code file into the project
D) Opening the code file and manually executing it

5. What information can you gather from Leaf statistics in a decision tree analysis?

A) The tree's decision rules for each leaf node
B) The total number of data points in each leaf node
C) The distribution of target variable values in each leaf node
D) The tree's overall accuracy and error rate

Solutions: