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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. 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.

2. What is one potential disadvantage of excessively deep decision trees?

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

3. What is the purpose of implementing score code generated by SAS Visual Statistics?

A) To apply the trained model to new data for predictions
B) To evaluate the performance of the scoring code
C) To assess the distribution of residuals in the model
D) To calculate the p-values of predictor variables

4. Given a scenario, what condition makes models comparable in SAS Visual Statistics?

A) If they use different link functions
B) If they have different sample sizes
C) If they use different response variables
D) If they use the same dataset and response variable

5. What are the roles that can be assigned in a generalized linear model (GLM)?

A) Predictor
B) Target
C) Intercept
D) Offset

Solutions: