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  • Exam Name: SAS Statistical Business Analysis SAS9: Regression and Model
  • Last Update: May 29, 2024
  • Questions and Answers: 99
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A00-240 Practice Exam Questions with Answers SAS Statistical Business Analysis SAS9: Regression and Model Certification

Question # 6

A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.

The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.

It has the following characteristics:

  • Target variable Respond (0, 1)
  • Continuous predictor Income
  • Categorical predictor Homeowner(Y, N)

Which SAS program performs this analysis?

A00-240 question answer

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 7

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:

A00-240 question answer

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.

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Question # 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?

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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Question # 9

In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?

A.

Training: 50% Validation: 0% Testing: 50%

B.

Training: 100% Validation: 0% Testing: 0%

C.

Training: 0% Validation: 100% Testing: 0%

D.

Training: 50% Validation: 50% Testing: 0%

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Question # 10

Which of the following describes a concordant pair of observations in the LOGISTIC procedure?

A.

An observation with the event has an equal probability as another observation with the event.

B.

An observation with the event has a lower predicted probability than the observation without the event.

C.

An observation with the event has an equal predicted probability as the observation without the event.

D.

An observation with the event has a higher predicted probability than the observation without the event

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Question # 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?

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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Question # 12

Refer to the exhibit:

A00-240 question answer

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.

Based on the AIC statistic, which model is the champion model?

A.

Age Weight RunTime RunPulse MaxPulse

B.

Age Weight RunTime RunPulse RestPulse MaxPulse

C.

RestPulse

D.

RunTime

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Question # 13

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?

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;

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Question # 14

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

Which SAS procedure provides a viable solution?

A.

GLM

B.

VARCLUS

C.

STDI2E

D.

CLUSTER

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Question # 15

A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.

A00-240 question answer

The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC.

Which SAS data steps will calculate the predicted probability of default on recent clients? (Choose two.)

A00-240 question answer

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 16

An analyst compares the mean salaries of men and women working at a company.

The SAS data set SALARY contains variables:

  • Gender (M or F)
  • Pay (dollars per year)

Which SAS programs can be used to find the p-value for comparing men's salaries with women's salaries? (Choose two.)

A00-240 question answer

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 17

What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?

A.

It violates assumptions of the model.

B.

It requires extra computational effort and time.

C.

It omits the training (and test) data sets from the benefits of the cleansing methods.

D.

There is no ability to compare the effectiveness of different cleansing methods.

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Question # 18

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

A00-240 question answer

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 19

Refer to the following odds ratio table:

A00-240 question answer

What is a correct interpretation of the estimate?

A.

The odds of the event are 1.142 greater for each one dollar increase in salary.

B.

The odds of the event are 1.142 greater for each one thousand dollar increase in salary.

C.

The probability of the event is 1.142 greater for each one dollar increase in salary.

D.

The probability of the event is 1.142 greater for each one thousand dollar increase in salary.

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Question # 20

A confusion matrix is created for data that were oversampled due to a rare target.

What values are not affected by this oversampling?

A.

Sensitivity and PV+

B.

Specificity and PV-

C.

PV+ and PV-

D.

Sensitivity and Specificity

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Question # 21

A linear model has the following characteristics:

  • A dependent variable (y)
  • Three continuous predictor variables (x1-x3)
  • One categorical predictor variable (c1 with 3 levels)

Which SAS program fits this model?

A00-240 question answer

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 22

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.

A00-240 question answer

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

Click the calculator button to display a calculator if needed.

A.

0.0819

B.

0.5663

C.

-3.7727

D.

-1.0415

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Question # 23

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?

A00-240 question answer

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 24

This question will ask you to provide a missing option. Given the following SAS program:

A00-240 question answer

What option must be added to the program to obtain a data set containing Pearson statistics?

A.

OUTPUT=estimates

B.

OUTP=estimates

C.

OUTSTAT=estimates

D.

OUTCORR=estimates

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Question # 25

Refer to the exhibit:

A00-240 question answer

Which SAS program produced the graph?

A00-240 question answer

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 26

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

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

A.

The model will likely be overfit.

B.

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

C.

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

D.

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

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Question # 27

Refer to the exhibit.

A00-240 question answer

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.

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Question # 28

A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.

For which of the following would this study be a candidate?

A.

over fitting

B.

oversampling

C.

multicollinearity

D.

simple random sample

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Question # 29

The standard form of a linear regression model is:

A00-240 question answer

Which statement best summarizes the assumptions placed on the errors?

A.

The errors are correlated, normally distributed with constant mean and zero variance.

B.

The errors are correlated, normally distributed with zero mean and constant variance.

C.

The errors are independent, normally distributed with constant mean and zero variance.

D.

The errors are independent, normally distributed with zero mean and constant variance.

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