A linear model has the following characteristics:
-A dependent variable (y)
-Three continuous predictor variables (x1-x3)
-One categorical predictor variable (c1with 3 levels)
Which SAS program fits this model?

• A.Option A
• B.Option B
• C.Option C
• D.Option D

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Given the following SAS data set TEST:

Which SAS program is NOT a correct way to create dummy variables?

• A.Option A
• B.Option C
• C.Option D
• D.Option B

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Screening for non-linearity in binary logistic regression can be achieved by visualizing:

• A.A logistic regression plot of predicted probability values versus a predictor variable.
• B.A scatter plot of binary response versus a predictor variable.
• C.A box plot of the odds ratio values versus a predictor variable.
• D.A trend plot of empirical logit versus a predictor variable.

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Refer to the exhibit:

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the exhibit, which statement is true?

• A.The R-Square champion model is the most parsimonious.
• B.Adjusted R-Square and R-Square agree on the champion model.
• C.The AIC champion model is more parsimonious than the SBC champion.
• D.The SBC champion model is more parsimonious than the AIC champion.

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A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression
model.
What will be the result?

• A.An increase in R-Square
• B.No change in R-Square
• C.A decrease in Mean Square Error
• D.A decrease in R-Square

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