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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibits:
Exhibit 1:

Exhibit 2:

An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 5 cluster IDs in Exhibit 2 based on these settings?

A) Cluster Matrix Visible Roles setting is 5.
B) Variable Standardization has been chosen.
C) There are observations with missing values.
D) Parallel Coordinates Visible Roles setting is 5.

2. When reviewing outlier details in linear regression, what factors should be considered when deciding whether to exclude outliers?

A) The number of outliers in the dataset
B) The magnitude of the outlier and its impact on the model
C) The p-values associated with the outliers
D) The variable roles assigned to outliers

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

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

4. What are some properties that can be defined in a generalized linear regression model?

A) Residuals and intercept
B) Coefficients and p-values
C) Distribution and link function
D) Number of predictors

5. In decision tree modeling, what is the purpose of setting a minimum split count?

A) To control the learning rate of the model
B) To specify the minimum number of data points required to perform a split
C) To prevent any splits in the tree
D) To determine the maximum depth of the tree

Solutions: