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

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Total 99 questions

SAS Statistical Business Analysis SAS9: Regression and Model Questions and Answers

Question 1

After performing an ANOVA test, an analyst has determined that a significant effect exists due to income. The analyst wants to compare each Income to all others and wants to control for experimentwise error.

Which GLM procedure statement would provide the most appropriate output?

Options:

A.

lsmeans Income / pdiff=control adjust=dunnett;

B.

lsmeans Income / pdiff=control adjust=t;

C.

lsmeans Income / pdiff=all adjust=tukey;

D.

lsmeans Income / pdiff=all adjust=t;

Question 2

Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?

Options:

A.

Adjusted R Square

B.

Mallow's Cp

C.

Chi Square

D.

Average Squared Error

Question 3

Within PROC GLM, the interaction between the two categorical predictors, Income and Gender, was shown to be significant. An item store was saved from the GLM analysis.

Which statement from PROC PLM would test the significance of Gender within each level of Income and adjust for multiple tests?

Options:

A.

sliceby Gender / adjust=tukey;

B.

slice Income*Gender / sliceby=Gender adjust=tukey;

C.

slice Income*Gender / sliceby=Income adjust=tukey;

D.

sliceby Income / adjust=tukey;

Question 4

Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.

Which SAS program computes the profit for each customer in the data set VALID?

Question # 4

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Question 5

Refer to the exhibit:

Question # 5

On the Gains Chart, what is the correct interpretation of the horizontal reference line?

Options:

A.

the proportion of cases that cannot be classified

B.

the probability of a false negative

C.

the probability of a false positive

D.

the prior event rate

Question 6

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

Question # 6

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

Options:

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;

Question 7

Refer to the REG procedure output:

Question # 7

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?

Options:

A.

R-Square

B.

Coeff Var

C.

Adj R-Sq

D.

Error DF

Question 8

Refer to the exhibit.

Question # 8

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

Which plot do you use to identify influential observations?

Options:

A.

Cook's D by Observation

B.

Residual by Quantile

C.

Residual by Predicted

D.

Fit - Mean and Residual Plot

Question 9

Refer to the exhibit:

Question # 9

The plots represent two models, A and B, being fit to the same two data sets, training and validation.

Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.

Which of the two models should be selected and why?

Options:

A.

Model A. It is more complex with a higher accuracy than model B on training data.

B.

Model A. It performs better on the boundary for the training data.

C.

Model B. It is more complex with a higher accuracy than model A on validation data.

D.

Model B. It is simpler with a higher accuracy than model A on validation data.

Question 10

Refer to the confusion matrix:

Question # 10

An analyst determines that loan defaults occur at the rate of 3% in the overall population. The above confusion matrix is from an oversampled test set (1 = default).

What is the sensitivity adjusted for the population event probability?

Enter your answer in the space below. Round to three decimals (example: n.nnn).

Options:

Question 11

This question will ask you to provide a missing option.

Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:

means Region / =levene ;

Options:

A.

test

B.

adjust

C.

var

D.

hovtest

Question 12

Refer to the REG procedure output:

Question # 12

Click on the calculator button to display a calculator if needed.

Options:

A.

0.4115

B.

0.6994

C.

0.5884

D.

0.1372

Question 13

Which characteristic of Studentized residuals indicate potential outliers?

Options:

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

Question 14

Refer to the exhibit:

Question # 14

An analyst examined logistic regression models for predicting whether a customer would make a purchase. The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule, 25% of the customers who did not make a purchase are incorrectly classified as purchasers.

What can be concluded from the graph?

Options:

A.

About 25% of the customers who did make a purchase are correctly classified as making a purchase.

B.

About 50% of the customers who did make a purchase are correctly classified as making a purchase.

C.

About 85% of the customers who did make a purchase are correctly classified as making a purchase.

D.

About 95% of the customers who did make a purchase are correctly classified as making a purchase.

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Total 99 questions