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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event.
Which statement is true?

A) The other levels are offset to account for exposure.
B) The other levels are grouped into one non-event.
C) A multinomial logistic regression is performed.
D) An ordinal logistic regression is performed.

2. When creating a Linear Regression, Category Variables can be used for Classification Effects and

A) Response
B) Continuous Effects
C) Frequency
D) Group-by

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

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

4. How can you apply filters to both visualization and data source in SAS Visual Analytics?

A) Use the toolbar options to filter the visualization
B) Use the filter pane to apply filters to the visualization
C) Define filters directly in the data source properties
D) Apply filters using the interactive filter dialog in the visualization

5. Given a scenario, what fit statistic can be used to select a champion model in model comparison?

A) The p-value of the intercept term
B) The AUC (Area Under the Curve)
C) The R-squared value
D) The learning rate of the model

Solutions: