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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. You would like to compare multiple models that you've built in SAS Visual Statistics.
Which parameters must be the same for all models being compared? (choose 3)

A) Assessment Bins
B) Link Function
C) Event Level
D) Response Variable
E) Data Source
F) Model Type

2. What can you interpret from the Assessment panel in a decision tree analysis?

A) The decision boundaries between leaf nodes
B) The tree's structural properties, such as depth and number of nodes
C) The feature importance for each variable in the tree
D) The tree's training and validation performance metrics

3. When applying interactive group-by in SAS Visual Analytics, what happens when you select a specific group?

A) The selected group is highlighted within the visualization
B) The measures are aggregated for the selected group
C) The visualization updates to show data only for the selected group
D) The other groups are temporarily hidden from the visualization

4. When combining multiple categories into fewer levels in SAS Visual Analytics, what technique is often used?

A) Variable transformation
B) Principal Component Analysis (PCA)
C) Binning or grouping
D) Data imputation

5. Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?

A) Adjusted R-Squared
B) Likelihood Displacement
C) AIC
D) Concordance

Solutions: