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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. What information can you interpret from a Cluster Matrix?
A) The number of data points in each cluster
B) The cluster centroids
C) The proximity or similarity between clusters
D) The order of cluster creation
2. What does a Group-by Variable enable you to do in SAS Visual Statistics?
A) Leverage informative missingness for measure and category variables.
B) Fit a model for each data segment defined by one or more category variables.
C) Fit a model for every value of a measure's distribution.
D) Use variable selection.
3. When applying interactive group-by in SAS Visual Analytics, what happens when you select a specific group?
A) The visualization updates to show data only for the selected group
B) The other groups are temporarily hidden from the visualization
C) The measures are aggregated for the selected group
D) The selected group is highlighted within the visualization
4. 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 visualizes the distribution of data points in leaf nodes.
C) It shows the decision boundaries between classes.
D) It displays the hierarchical structure of the decision tree.
5. What is the purpose of deriving a cluster ID variable in cluster analysis?
A) To set parallel coordinate properties
B) To assign cluster labels to data points
C) To create a scatter plot of data points
D) To calculate the distance between clusters
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: B | Question # 3 Answer: A,B,D | Question # 4 Answer: B,D | Question # 5 Answer: B |






