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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?

A) Create a calculated item subtracting the Min aggregation from the Max aggregation.
B) Select a histogram object for each measure.
C) Select View Measure Details within the Actions menu to the right of the dataset name.
D) Create aggregated measures using the Min and Max aggregations.

2. In the below linear regression results display, where would you click to access the parameter estimates?

3. Which statement is true about Decision Trees in SAS Visual Statistics

A) Decision trees can be used for outlier detection.
B) Decision trees cannot handle continuous dependent variables.
C) Decision trees cannot handle missing values.
D) Decision trees can be used for classification and estimation.

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

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

5. What properties can be assigned when comparing models in SAS Visual Statistics?

A) The number of observations in the dataset
B) The color scheme for visualization
C) The learning rate for gradient boosting models
D) The variables to include in the model comparison

Solutions: