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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. You have a Partition column in your data that takes on values of 0, 1, and 2.
What happens, by default, if you define a Partition data item from this variable?

A) Observations with a value of 0 will be used as Training data.
B) No partition will be used because there are more than two levels.
C) Observations with a value of 2 will be used as Training data.
D) Observations with a value of 1 will be used as Training data.

2. In logistic regression, which variable is typically designated as the "event" variable (binary)?

A) The response variable indicating the event occurrence
B) The predictor variable with the lowest p-value
C) The intercept term in the model
D) The predictor variable with the highest p-value

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

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

4. Refer to the fit summary from in the exhibit below.

What can be concluded from the fit summary?

A) Job Type is not a significant predictor in this model.
B) Debt to income ratio is a significant predictor when Job Type = Sales.
C) Debt to income ratio is a significant predictor when Job Type = Mgr.
D) Job Type = Office has no important variables associated with it.

5. Refer to the fit summary from SAS Visual Statisitcs in the exhibit below.

What can be concluded from the fit summary?

A) Average Sales is a significant predictor when Customer Value Level = E.
B) Average Sales is an important predictor when Customer Value Level = C.
C) Customer Value Level C has no important variables associated with it.
D) Customer Value Level is not a significant predictor in this model.

Solutions: