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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which statement is true regarding the number of polylines created in a Parallel Coordinates plot during Cluster Analysis?

A) It cannot exceed 3,000.
B) It is calculated using the variable with the greatest number of bins.
C) It is calculated using the number of variables used in the cluster analysis.
D) It is calculated using the number of variables visible in the plot.

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

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

3. You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event.
Which statement is true?

A) The other levels are offset to account for exposure.
B) A multinomial logistic regression is performed.
C) An ordinal logistic regression is performed.
D) The other levels are grouped into one non-event.

4. How can you derive a leaf ID for use in other models or analyses based on a decision tree?

A) By extracting the node IDs of all leaf nodes
B) By calculating the distance between data points and leaf nodes
C) By applying a clustering algorithm to leaf node values
D) By concatenating the decision rules leading to a leaf node

5. When setting proper inputs for the k-means algorithm, what parameter represents the number of clusters to create?

A) K-value
B) Learning rate
C) Cluster centroid initialization
D) Random seed

Solutions: