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Vendor: SASInstitute
Exam Code: A00-240
Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
Certification: Statistical Business Analyst
Total Questions: 99 Q&A
Updated on: Nov 12, 2024
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Screening for non-linearity in binary logistic regression can be achieved by visualizing:
A. A scatter plot of binary response versus a predictor variable.
B. A trend plot of empirical logit versus a predictor variable.
C. A logistic regression plot of predicted probability values versus a predictor variable.
D. A box plot of the odds ratio values versus a predictor variable.
The Model SS in a multiple linear regression model is equal to:
A. the total SS- MSE
B. the sum of Type I SS of all model terms
C. the sum of Type II SS of all model terms
D. the sum of SSE and MSE
A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model. What will be the result?
A. An increase in R-Square
B. A decrease in R-Square
C. A decrease in Mean Square Error
D. No change in R-Square
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