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

A00-240 Sample Questions Answers

Questions 4

Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?

Options:

A.

KS

B.

SBC

C.

Max EDF

D.

Brier Score

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Questions 5

Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?

Options:

A.

Use the SCORE statement in the LOGISTIC procedure.

B.

Augment the training data set with new observations and set their responses to missing.

C.

Augment the training data set with new observations and rerun the LOGISTIC procedure.

D.

Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.

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Questions 6

Refer to the exhibit:

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

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Questions 7

Refer to the confusion matrix:

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:

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Questions 8

An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target. However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.

What is the correct application of Greenacre's method in this situation?

Options:

A.

Clustering the levels using the target proportion for each zip_code as input.

B.

Clustering the levels using the zip_code values as input.

C.

Clustering the levels using the number of cases in each zip_code as input.

D.

Clustering the levels using dummy coded zip_code levels as inputs.

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Questions 9

The selection criterion used in the forward selection method in the GLMSELECT procedure is:

Options:

A.

RSQ

B.

MSE

C.

R-squared

D.

AIC

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Questions 10

Refer to the lift chart:

At a depth of 0.1, Lift = 3.14. What does this mean?

Options:

A.

Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.

B.

Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.

C.

Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.

D.

Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.

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Questions 11

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

How should the imputations be addressed in the validation data?

Options:

A.

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

B.

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

C.

The imputed values must be recalculated using the validation data.

D.

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

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Questions 12

Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company's pre-assigned market segments and tested for difference in the customers' average intent to purchase. The following is the output from the GLM procedure:

What percentage of customers' intent to purchase is explained by market segment?

Click the calculator button to display a calculator if needed.

Options:

A.

<0.01%

B.

35%

C.

65%

D.

76%

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Questions 13

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?

Options:

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.

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Questions 14

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?

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;

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Exam Code: A00-240
Exam Name: SAS Statistical Business Analysis SAS9: Regression and Model
Last Update: May 1, 2024
Questions: 99
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