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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?

A) Likelihood Displacement
B) AIC
C) Concordance
D) Adjusted R-Squared

2. How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?

A) It is used as a predictor variable.
B) It is used to define the outcome categories.
C) It is not used in logistic regression modeling.
D) It is used as an event variable.

3. Which statement is true regarding model comparison within SAS Visual Statistics?

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

4. In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?

A) To ensure that predictor variables are not highly correlated
B) To determine the order of predictor variables in the model
C) To verify if the chosen model assumptions are met and make adjustments if necessary
D) To calculate the p-values of predictor variables

5. When should you replace dirty data with missing values in SAS Visual Analytics?

A) When you want to create a new variable
B) When the data contains outliers
C) When you want to remove missing values
D) When the data is incorrect or invalid

Solutions: