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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q77-Q82):

NEW QUESTION # 77
What are the essentials of logistic regression?

A. Using the logit link function to model the probability of an event
B. Estimating probabilities of categorical outcomes
C. Modeling binary or ordinal outcomes
D. Assuming a linear relationship between predictors and response

Answer: A,B,C

NEW QUESTION # 78
Which of the following are common distributions used in generalized linear models?

A. Normal
B. Logistic
C. Exponential
D. Poisson

Answer: A,B,D

NEW QUESTION # 79
Which statement is true regarding model comparison within SAS Visual Statistics?

A. A logistic regression and a decision tree cannot be compared.
B. Two generalized linear models cannot be compared if they use different underlying distributions.
C. A linear regression and a generalized linear model cannot be compared.
D. Two cluster analyses cannot be compared if they have different initial seed assignments.

Answer: D

NEW QUESTION # 80
What is one potential disadvantage of excessively deep decision trees?

A. Overfitting to the training data
B. Faster prediction times
C. Increased interpretability
D. Greater stability in the model

Answer: A

NEW QUESTION # 81
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. Poisson distribution with a log link function
B. Normal distribution with an identity link function
C. Logistic distribution with a logit link function
D. Exponential distribution with a square root link function

Answer: A

NEW QUESTION # 82
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