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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. How can you apply filters to both visualization and data source in SAS Visual Analytics?

A) Apply filters using the interactive filter dialog in the visualization
B) Use the filter pane to apply filters to the visualization
C) Define filters directly in the data source properties
D) Use the toolbar options to filter the visualization

2. Refer to the exhibits:
Exhibit 1:

Exhibit 2:

An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 5 cluster IDs in Exhibit 2 based on these settings?

A) Cluster Matrix Visible Roles setting is 5.
B) There are observations with missing values.
C) Variable Standardization has been chosen.
D) Parallel Coordinates Visible Roles setting is 5.

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

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

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

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

5. Prior to fitting a regression model, data binning of a continuous effect should be used for what purpose?

A) Reduce the impact of minor observation errors.
B) Gain information due to discretization.
C) Reduce the cardinality of a continuous effect.
D) Improve the accuracy of your predictions.

Solutions: