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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q153-Q158):

NEW QUESTION # 153
Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?

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

Answer: C

NEW QUESTION # 154
When should you replace dirty data with missing values in SAS Visual Analytics?

A. When you want to create a new variable
B. When you want to remove missing values
C. When the data is incorrect or invalid
D. When the data contains outliers

Answer: C

NEW QUESTION # 155
When assigning variable roles for a decision tree, which role typically represents the target variable you want to predict?

A. Predictor
B. Splitter
C. Input
D. Output

Answer: D

NEW QUESTION # 156
Which of the following criteria are commonly used for pruning a decision tree?

A. Maximum leaf nodes
B. Maximum tree height
C. Minimum split count
D. Maximum depth

Answer: A,C,D

NEW QUESTION # 157
During cluster creation, if the Variable Standardization option is selected, where in SAS Visual Statistics can you view the standardization formula?

A. score code
B. parallel coordinates plot
C. cluster matrix plot
D. cluster summary table

Answer: A

NEW QUESTION # 158
......

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Simulated A00-485 Test, A00-485 Training Material

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q153-Q158):

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