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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Given a scenario where the response variable represents the number of accidents in a day, what distribution and link function might be appropriate for modeling?

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

2. When reviewing Measure Details in SAS Visual Analytics, what information can you find related to measures?

A) Measure name and label
B) Measure calculation method
C) Measure format and informat
D) Measure data type

3. When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?

A) Opening the code file and manually executing it
B) Running a SQL query to generate predictions
C) Converting the code to a macro for automation
D) Dragging and dropping the score code file into the project

4. What is the primary purpose of modeling effects in linear regression?

A) To calculate the p-values of the predictors
B) To identify outliers in the data
C) To assess multicollinearity among predictors
D) To capture the relationship between predictors and the response variable

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

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

Solutions: