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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q18-Q23):

NEW QUESTION # 18
You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).
Which settings in the Generalized Linear Model task are most appropriate for modeling this response?

Answer: C

NEW QUESTION # 19
When creating a Linear Regression, Category Variables can be used for Classification Effects and

A. Response
B. Continuous Effects
C. Group-by
D. Frequency

Answer: C

NEW QUESTION # 20
What can be interpreted from the Summary Table for model comparison, including statistics and variable importance?

A. The distribution of predictor variables
B. The number of iterations performed by each model
C. Model performance metrics and their relative importance
D. The correlation matrix of predictor variables

Answer: C

NEW QUESTION # 21
What does it mean to create dummy variables in SAS Visual Data Builder?

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

Answer: C

NEW QUESTION # 22
What are variable selection methods for decision trees used to determine the most important features?

A. Recursive feature elimination
B. Principal Component Analysis (PCA)
C. Information gain or Gini impurity reduction
D. F-test for feature significance

Answer: C

NEW QUESTION # 23
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