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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary purpose of imputing a variable in SAS Visual Analytics?

A) To create new variables
B) To aggregate data
C) To remove missing values
D) To replace incorrect values

2. When examining the Cluster Summary tab, what information is typically available?

A) The number of variables in the analysis
B) Statistics for each cluster, such as mean and standard deviation
C) The decision tree structure for each cluster
D) The number of iterations performed during clustering

3. What is the primary benefit of exporting score code for model deployment?

A) It enables scoring of new data without the need for SAS Visual Statistics.
B) It allows for model performance assessment on a test dataset.
C) It provides insights into the distribution of predictor variables.
D) It automatically generates new predictor variables.

4. What roles can be assigned to variables in logistic regression?

A) Interval
B) Target
C) Input
D) Nominal

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

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

Solutions: