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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. How can you appropriately change the number of clusters in a k-means cluster analysis?

A) By increasing the number of iterations
B) By changing the K-value
C) By modifying the random seed
D) By adjusting the learning rate

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

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

3. After a logistic regression has been created in SAS Visual Statistics, you discover that not all observations were used to create the model.
How would you run the model on all of the data?

A) Include the correct offset term.
B) Select Use Variable Selection on the properties tab.
C) Select Informative Missingness on the properties tab.
D) Include the correct interaction term.

4. Given a scenario where the response variable represents the time until an event occurs, what distribution and link function might be appropriate for modeling?

A) Normal distribution with an identity link function
B) Poisson distribution with a log link function
C) Logistic distribution with a logit link function
D) Exponential distribution with a log link function

5. Why are decision trees a useful technique for segmentation?

A) Trees split the response into homogeneous groups, while maximizing the difference in the response of the groups.
B) Trees treat each split cell dependently based on earlier split decisions.
C) Trees split data into smaller cells which are decreasingly "pure".
D) Trees split the response into heterogeneous groups, while minimizing the difference in the response of the groups.

Solutions: