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SAS Institute A00-240 - SAS Statistical Business Analysis SAS9: Regression and Model

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Total 99 questions

Refer to the exhibit.

Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?

A.

Medium wrist size is significantly different than small wrist size.

B.

Large wrist size is significantly different than medium wrist size.

C.

Large wrist size is significantly different than small wrist size.

D.

There is no significant difference due to wrist size.

Which SAS program will correctly use backward elimination selection criterion within the REG procedure?

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Which characteristic of Studentized residuals indicate potential outliers?

A.

Only studentized residuals greater than negative two

B.

Only studentized residuals less than negative two and greater than two

C.

Only studentized residuals greater than two

D.

Only studentized residuals less than two and greater than negative two

One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).

What problem does this present?

A.

All parameter estimates are biased.

B.

Only the intercept estimate is biased.

C.

Only the non-intercept parameter estimates are biased.

D.

Sensitivity estimates are biased.

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?

A.

R-Square

B.

Coeff Var

C.

Adj R-Sq

D.

Error DF

PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:

At Step 9 number of at bats (nAtBat) was removed from the model.

Why was it removed?

A.

Removing nAtBat had the largest effect on the parameter estimate of nHits.

B.

The p-Value for nAtBat was largest.

C.

Removing nAtBat yielded the largest improvement to SBC.

D.

The p-Value for nAtBat was smallest.

Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).

A.

Option A

B.

Option B

C.

Option C

D.

Option D

The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

A.

Score data data=MYDIR.NEW_DATA out=scores;

B.

Score data data=MYDIR.NEW_DATA output=scores;

C.

Score data=HYDIR.NEU_DATA output=scores;

D.

Score data=MYDIR, NEW DATA out=scores;

This question will ask you to provide missing code segments.

A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.

Given the following SAS program:

What X and Y values should be added to the program to correctly score the data?

A.

X=40, Y=10

B.

X=.05, Y=10

C.

X=.05, Y=.40

D.

X=.10, Y=05