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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?

A) By summing the residuals of the model
B) By fitting a linear regression model to the data
C) By calculating the mean of the predictor variables
D) By applying the link function to the linear predictor

2. Refer to the exhibit:

Which is the modeling approach that should be used when fitting the Target Gift Amount variable?

A) Logistic regression model.
B) Linear regression model with Interaction effects.
C) Generalized linear model with a Normal distribution and Log Link.
D) Generalized linear model with a Poisson distribution and Identity link.

3. Refer to the exhibit:

How many predictor variables would be included in the score code produced by this model?

A) 13
B) 8
C) 7
D) 5

4. What is the purpose of reviewing Measure Details when preparing data for a model?

A) To identify missing values in the measures
B) To determine the aggregation method for measures
C) To understand the level of measurement for each variable
D) To check data types and formats of the measures

5. What are variable selection methods for decision trees used to determine the most important features?

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

Solutions: