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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

When examining the Fit Summary for group-by models, what can you analyze to evaluate the model fit?

A. R-squared value
B. p-value for the group-by variable
C. AIC (Akaike Information Criterion)
D. BIC (Bayesian Information Criterion)

Question 2

What does it mean to create dummy variables in SAS Visual Data Builder?

A. Replacing missing values with zeros
B. Aggregating multiple measures into one variable
C. Converting categorical variables into binary variables
D. Generating artificial data points

Question 3

You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).
Which settings in the Generalized Linear Model task are most appropriate for modeling this response?

A.

B.

C.

D.

Question 4

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

Question 5

Select the best distribution to model with linear regression.

A.

B.

C.

D.

Solutions: