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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What does it mean to prune a decision tree?

A) To convert the decision tree into a random forest model
B) To trim branches of the tree to reduce complexity and overfitting
C) To remove all leaf nodes and keep only the root node
D) To increase the depth of the tree to improve accuracy

2. When performing linear regression modeling, what is the primary goal of assessing multicollinearity among predictors?

A) To identify influential outliers
B) To calculate the coefficient of determination (R-squared)
C) To ensure that predictor variables are not highly correlated
D) To detect non-linear relationships

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

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

4. How can you assign a group-by variable to a predictive model in SAS Visual Analytics?

A) Drag and drop the group-by variable into the predictor field of the model
B) Specify the group-by variable in the data source properties
C) Click on the group-by variable and choose "Assign as predictor" from the context menu
D) Select the group-by variable from a dropdown menu in the model settings

5. Which statement is true regarding model comparison within SAS Visual Statistics?

A) A linear regression and a generalized linear model cannot be compared.
B) Two generalized linear models cannot be compared if they use different underlying distributions.
C) A logistic regression and a decision tree cannot be compared.
D) Two cluster analyses cannot be compared if they have different initial seed assignments.

Solutions: