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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When assigning variable roles for a decision tree, which role typically represents the target variable you want to predict?

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

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

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

3. Which of the following are common distributions used in generalized linear models?

A) Logistic
B) Poisson
C) Normal
D) Exponential

4. When interpreting comparison results using the Assessment panel, what information can be obtained?

A) The number of iterations performed by each model
B) The relationship between two predictor variables
C) Model performance metrics, such as AUC and KS Statistic
D) The distribution of predictor variables

5. What are the essentials of logistic regression?

A) Modeling binary or ordinal outcomes
B) Assuming a linear relationship between predictors and response
C) Using the logit link function to model the probability of an event
D) Estimating probabilities of categorical outcomes

Solutions: