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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What does a ROC chart help assess in model comparison?

A) The trade-off between true positives and false positives at different thresholds
B) The correlation between predictor variables
C) The distribution of residuals in the models
D) The stability of model predictions

2. What is the primary purpose of assigning variable roles in linear regression?

A) To indicate which variables are predictors and which are responses
B) To determine the level of significance for each variable
C) To determine the order in which variables are entered into the model
D) To specify which variables are categorical and which are continuous

3. Which statement is true about performing regressions in SAS Visual Statistics?

A) You can build neither a linear regression nor a logistic regression with a generalized linear model.
B) You can specify a multinomial classifier as the response variable with linear regression.
C) You can build both a linear regression or a logistic regression with a generalized linear model.
D) You can specify an ordinal classifier as the response variable with linear regression.

4. In generalized linear models, what is the purpose of the link function?

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

5. When evaluating a Misclassification plot, what does it typically show?

A) The trade-off between false positives and false negatives at different thresholds
B) The distribution of predictor variables in the dataset
C) The p-values associated with the predictor variables
D) The relationship between two predictor variables

Solutions: