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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is variable selection in SAS Visual Statistics used for in logistic regression modeling?

A) To specify the distribution of the response variable
B) To assign roles to variables
C) To exclude all predictor variables
D) To identify and choose relevant predictor variables

2. What is meant by "informative missingness" in the context of linear regression?

A) Missing data that is unrelated to the outcome variable
B) Missing data that leads to multicollinearity among predictors
C) Missing data that provides valuable information about the outcome
D) Missing data that is randomly distributed across observations

3. How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?

A) It is used as an event variable.
B) It is used to define the outcome categories.
C) It is used as a predictor variable.
D) It is not used in logistic regression modeling.

4. In decision tree analysis, what is typically found on the y-axis of an icicle plot?

A) Class labels
B) Impurity measures
C) Feature values
D) Depth of the tree

5. How can you interpret a Parallel Coordinates plot in cluster analysis?

A) It displays the hierarchical structure of clusters.
B) It shows the distribution of data within a cluster.
C) It visualizes the relationship between clusters.
D) It provides a summary of cluster statistics.

Solutions: