SASInstitute Modeling Using SAS Visual Statistics : A00-485

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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question #1
What information can you gather from Leaf statistics in a decision tree analysis?

A. The tree's decision rules for each leaf node
B. The tree's overall accuracy and error rate
C. The distribution of target variable values in each leaf node
D. The total number of data points in each leaf node

Question #2
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. Poisson distribution with a log link function
B. Exponential distribution with a log link function
C. Normal distribution with an identity link function
D. Logistic distribution with a logit link function

Question #3
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 not used in logistic regression modeling.
C. It is used as a predictor variable.
D. It is used as an event variable.

Question #4
How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?

A. By fitting a linear regression model to the data
B. By summing the residuals of the model
C. By calculating the mean of the predictor variables
D. By applying the link function to the linear predictor

Question #5
What conditions might make models less comparable in SAS Visual Statistics?

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

Solutions: