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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

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

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

2. Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?

A) A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit.
B) GAM assumes a strict linear relationship between the predictors and the response function.
C) Specification of a spline effect is optional.
D) The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve.

3. What properties can be defined in a logistic regression model?

A) Coefficients and p-values
B) The learning rate
C) The distribution of the response variable
D) The number of iterations

4. The Leaf size property within a decision tree is changed from 5 to 10 and no other stopping rules were met.
How will the tree change?

A) The tree will be harder to interpret.
B) The tree will be more complex.
C) The tree will train more slowly.
D) The tree will be simpler.

5. What does it mean to create dummy variables in SAS Visual Data Builder?

A) Replacing missing values with zeros
B) Converting categorical variables into binary variables
C) Generating artificial data points
D) Aggregating multiple measures into one variable

Solutions: