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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. In SAS Visual Statistics, which role is typically assigned to variables in cluster analysis?

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

2. Which model does not produce score code?

A) Regression using the group by option
B) Decision Tree using the rapid growth option
C) Decision Tree using interactive mode
D) Regression using interaction effects

3. What conditions might make models less comparable in SAS Visual Statistics?

A) If they have similar AUC values
B) If they have different learning rates
C) If they are both logistic regression models
D) If they use the same dataset and response variable

4. What properties can be defined in a logistic regression model?

A) The distribution of the response variable
B) Coefficients and p-values
C) The number of iterations
D) The learning rate

5. What is unsupervised classification in the context of cluster analysis?

A) Grouping similar data points together without predefined labels
B) Creating a scatter plot of data points
C) Assigning predefined labels to data points
D) Using a decision tree for data classification

Solutions: