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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q69-Q74):

NEW QUESTION # 69
What is variable selection in SAS Visual Statistics used for in logistic regression modeling?

A. To assign roles to variables
B. To exclude all predictor variables
C. To specify the distribution of the response variable
D. To identify and choose relevant predictor variables

Answer: D

NEW QUESTION # 70
What are the essentials of logistic regression?

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

Answer: A,B,C

NEW QUESTION # 71
What conditions might make models less comparable in SAS Visual Statistics?

A. If they use the same dataset and response variable
B. If they have different learning rates
C. If they are both logistic regression models
D. If they have similar AUC values

Answer: B,D

NEW QUESTION # 72
What properties can be assigned when comparing models in SAS Visual Statistics?

A. The variables to include in the model comparison
B. The learning rate for gradient boosting models
C. The color scheme for visualization
D. The number of observations in the dataset

Answer: A

NEW QUESTION # 73
What is the maximum number of response variables that SAS Visual Statistics allows for a decision tree?

A. 0
B. 1
C. 2
D. 3

Answer: A

NEW QUESTION # 74
......

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q69-Q74):

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