SAS A00-240 Exam Questions Instant Access

Question 1

A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale.

What is the profit matrix for a typical person in the population?

AOption A

BOption B

COption C

DOption D

Answer : C

Question 2

A predictive model uses a data set that has several variables with missing values.

What two problems can arise with this model? (Choose two.)

AThe model will likely be overfit.

BThere will be a high rate of collinearity among input variables.

CComplete case analysis means that fewer observations will be used in the model building process.

DNew cases with missing values on input variables cannot be scored without extra data processing.

Answer : C, D

Question 3

There are missing values in the input variables for a regression application.

Which SAS procedure provides a viable solution?

AGLM

BVARCLUS

CSTDI2E

DCLUSTER

Answer : C

Question 4

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

Question 5

Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

AThe predicted lift for the best 50% of validation data cases

BThe predicted lift if the entire population is scored as event cases

CThe predicted lift if none of the population are scored as event cases

DThe predicted lift if 50% of the population are randomly scored as event cases

Answer : B

Question 6

Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

AOption A

BOption B

COption C

DOption D

Answer : C

Question 7

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

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