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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

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

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

2. 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) 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 square root link function

3. How can you export score code generated by SAS Visual Statistics for a trained model?

A) By copying and pasting it into a text editor
B) By printing it directly from the SAS Visual Statistics interface
C) By exporting it as a PDF document
D) By exporting it as a standalone script file

4. Refer to the exhibit:

An economist is predicting demand using a linear regression model.
If all of the effect variables equal 1, what is the predicted demand?

A) 352.405432
B) 352.415433
C) 352.454433
D) 362.415133

5. When evaluating a Misclassification plot, what does it typically show?

A) The p-values associated with the predictor variables
B) The relationship between two predictor variables
C) The distribution of predictor variables in the dataset
D) The trade-off between false positives and false negatives at different thresholds

Solutions: