Free SAS Institute A00-240 Practice Exam with Questions & Answers

This question will ask you to provide a missing option.

A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in viewing the regression equation parameter estimates for each of the design variables.

Which option completes the program to produce the regression equation parameter estimates?

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

What will be the result?

Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.

Which SAS program computes the profit for each customer in the data set VALID?

Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).

The following SAS program was used.

What does this program calculate?

The Model SS in a multiple linear regression model is equal to:

A linear model has the following characteristics:

• A dependent variable (y)
• Three continuous predictor variables (x1-x3)
• One categorical predictor variable (c1 with 3 levels)

Which SAS program fits this model?

Refer to the REG procedure output:

An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.

Which statistic justifies this rationale?

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

Refer to the REG procedure output:

Click on the calculator button to display a calculator if needed.

A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model.

What will be the result?