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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q53-Q58):

NEW QUESTION # 53
Given a scenario where the response variable represents the time until an event occurs, what distribution and link function might be appropriate for modeling?

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

Answer: D

NEW QUESTION # 54
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. Exponential distribution with a square root link function
B. Normal distribution with an identity link function
C. Logistic distribution with a logit link function
D. Poisson distribution with a log link function

Answer: D

NEW QUESTION # 55
How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?

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

Answer: A

NEW QUESTION # 56
In generalized linear models, what is the purpose of the link function?

A. To adjust the model for multicollinearity
B. To specify the relationship between the predictor and response variables
C. To determine the distribution of the response variable
D. To calculate the p-values of predictor variables

Answer: B

NEW QUESTION # 57
What can be interpreted from the Summary Table for model comparison, including statistics and variable importance?

A. The number of iterations performed by each model
B. The distribution of predictor variables
C. The correlation matrix of predictor variables
D. Model performance metrics and their relative importance

Answer: D

NEW QUESTION # 58
......

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Free A00-485 Test Questions & Latest A00-485 Exam Topics

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q53-Q58):

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