SAS A00-240 Exam Practice Test Instant Access

Question 1

While building a predictive model, median imputations are performed while preparing the training data.

How should the imputations be addressed in the validation data?

AThe imputed values are irrelevant to the validation data, and are not used.

BThe imputed values must be applied directly to the validation data without recalculation.

CThe imputed values must be recalculated using the validation data.

DThe imputed values must be recalculated using both the training and the validation data.

Answer : C

Question 2

Which SAS program will best identify influential observations in a multiple regression application?

AOption A

BOption B

COption C

DOption D

Answer : C

Question 3

Refer to the exhibit.

Output from a multiple linear regression analysis is shown.

What is the most appropriate statement concerning collinearity between the input variables?

ACollinearity is a problem since all variance inflation values are less than 10.

BCollinearity is not a problem since all variance inflation values are less than 10.

CCollinearity is not a problem since all Pr>|t| values are less than 0.05.

DCollinearity is a problem since all Pr>|t| values are less than 0.05.

Answer : C

Question 4

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?

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

BThe p-Value for nAtBat was largest.

CRemoving nAtBat yielded the largest improvement to SBC.

DThe p-Value for nAtBat was smallest.

Answer : B

Question 5

Refer to the exhibit.

These graphs were created using the GLM procedure with the plots(only)=diagnostics option.

Which plot do you use to identify influential observations?

ACook's D by Observation

BResidual by Quantile

CResidual by Predicted

DFit - Mean and Residual Plot

Answer : A

Question 6

The following LOGISTIC procedure output analyzes the relationship between a binary response and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large (L) as the reference level.

What is the estimated logit for a person with large wrist size?

Click the calculator button to display a calculator if needed.

A0.0819

B0.5663

C-3.7727

D-1.0415

Answer : D

Question 7

Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

AOUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.

BOUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities

COUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.

DOUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.

Answer : A

SAS A00-240 SAS Statistical Business Analysis SAS9: Regression and Model Exam Practice Test