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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What information can you interpret from a Cluster Matrix?

A) The proximity or similarity between clusters
B) The cluster centroids
C) The order of cluster creation
D) The number of data points in each cluster

2. When specifying Cluster Roles for Cluster Analysis in SAS Visual Statistics, which condition is correct?

A) At least two variables are required.
B) Category items are not allowed.
C) A target variable is required.
D) Interaction items are allowed.

3. Interactions can be created and added to a linear regression model.
Which statement is true about interactions?

A) The maximum number of interactions allowed in a model is 3.
B) Each interaction is limited to 3 effects or fewer.
C) Measures and categories can be combined to create an interaction.
D) An interaction can be created for a squared category variable.

4. What are some features of model comparison in SAS Visual Statistics?

A) Identifying the best model based on a single metric
B) Assessing the impact of predictor variables on model outcomes
C) Evaluating model stability over time
D) Comparing the performance of different models

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

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

Solutions: