SAS A00-240 Practice Questions| TestInsights

Question 1

Refer to the exhibit:

A00-240 Exam Question 1 Exhibit 1

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?

AThe AIC champion model is more parsimonious than the SBC champion.

BThe SBC champion model is more parsimonious than the AIC champion.

CThe R-Square champion model is the most parsimonious.

DAdjusted R-Square and R-Square agree on the champion model.

Correct : B

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AThe AIC champion model is more parsimonious than the SBC champion.

BThe SBC champion model is more parsimonious than the AIC champion.

CThe R-Square champion model is the most parsimonious.

DAdjusted R-Square and R-Square agree on the champion model.

Question 2

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

Athe total SS- MSE

Bthe sum of Type I SS of all model terms

Cthe sum of Type II SS of all model terms

Dthe sum of SSE and MSE

Correct : B

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Athe total SS- MSE

Bthe sum of Type I SS of all model terms

Cthe sum of Type II SS of all model terms

Dthe sum of SSE and MSE

Question 3

Refer to the REG procedure output:

A00-240 Exam Question 3 Exhibit 1

How many observations are used in the analysis? Enter your numeric answer in the space below.

See Below Explanation:

Correct : A

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A100

Question 4

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

What will be the result?

AAn increase in R-Square

BA decrease in R-Square

CA decrease in Mean Square Error

DNo change in R-Square

Correct : B

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AAn increase in R-Square

BA decrease in R-Square

CA decrease in Mean Square Error

DNo change in R-Square

Question 5

Refer to the confusion matrix:

A00-240 Exam Question 5 Exhibit 1

Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)

AAccuracy = 58/102, Error Rate = 23/48

BAccuracy = 83/102, Error Rate = 67/102

CAccuracy = 25/150, Error Rate = 44/150

DAccuracy = 83/150, Error Rate = 67/150

Correct : A

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AAccuracy = 58/102, Error Rate = 23/48

BAccuracy = 83/102, Error Rate = 67/102

CAccuracy = 25/150, Error Rate = 44/150

DAccuracy = 83/150, Error Rate = 67/150

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