A00-240 Practice Exam Questions with Answers SAS Statistical Business Analysis SAS9: Regression and Model Certification

the total SS- MSE

the sum of Type I SS of all model terms

the sum of Type II SS of all model terms

the sum of SSE and MSE

Option A

Option B

Option C

Option D

nonlinear and nonmonotonic association between two variables

linear and monotonic association between two variables

linear and nonmonotonic association between two variables

nonlinear and monotonic association between two variables

test

adjust

var

hovtest

Approximately twice as many customers with the top ten percent of predicted probabilities are expected to have a positive versus negative event.

Approximately ten percent of a randomly selected subset of twenty percent of the customers are expected to have a positive event.

Approximately twenty percent of the customers with a predicted score of 3 have a positive predicted class.

Approximately ten percent of those customers with the top twenty percent of predicted probabilities are expected to have a positive event.

Eliminate store_id as a predictor in the model because it has too many levels to be feasible.

Cluster by using Greenacre's method to combine stores that are similar.

Use subject matter expertise to combine stores that are similar.

Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.

The odds of the event are 1.142 greater for each one dollar increase in salary.

The odds of the event are 1.142 greater for each one thousand dollar increase in salary.

The probability of the event is 1.142 greater for each one dollar increase in salary.

The probability of the event is 1.142 greater for each one thousand dollar increase in salary.

The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.

The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.

Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.

The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.