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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What roles can be assigned to variables in logistic regression?

A) Interval
B) Input
C) Nominal
D) Target

2. How is prediction typically performed in logistic regression?

A) By estimating the probability of an event for each observation
B) By fitting a straight line through the data points
C) By calculating the mean of the response variable
D) By maximizing the likelihood of the response variable

3. In the context of linear regression, what does the term "linearity" refer to?

A) The absence of any relationship between variables
B) The use of polynomial functions for modeling
C) The use of a straight line to model relationships
D) The requirement for variables to be categorical

4. When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?

A) The predicted events decrease and the predicted probabilities remain unchanged.
B) The predicted events remain unchanged and the predicted probabilities increase.
C) The predicted events increase and the predicted probabilities remain unchanged.
D) The predicted events remain unchanged and the predicted probabilities decrease.

5. How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?

A) It is used as a predictor variable.
B) It is used to define the outcome categories.
C) It is not used in logistic regression modeling.
D) It is used as an event variable.

Solutions: