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

Questions 4

Refer to the exhibit.

A00-240 Question 4

Based on the control plot, which conclusion is justified regarding the means of the response?

Options:

A.

All groups are significantly different from each other.

B.

2XL is significantly different from all other groups.

C.

Only XL and 2XL are not significantly different from each other.

D.

No groups are significantly different from each other.

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Questions 5

A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.

What will be the result?

Options:

A.

An increase in R-Square

B.

A decrease in R-Square

C.

A decrease in Mean Square Error

D.

No change in R-Square

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Questions 6

Including redundant input variables in a regression model can:

Options:

A.

Stabilize parameter estimates and increase the risk of overfitting.

B.

Destabilize parameter estimates and increase the risk of overfitting.

C.

Stabilize parameter estimates and decrease the risk of overfitting.

D.

Destabilize parameter estimates and decrease the risk of overfitting.

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Questions 7

Which SAS program will detect collinearity in a multiple regression application?

A00-240 Question 7

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Questions 8

Refer to the following exhibit:

A00-240 Question 8

What is a correct interpretation of this graph?

Options:

A.

The association between the continuous predictor and the binary response is quadratic.

B.

The association between the continuous predictor and the log-odds is quadratic.

C.

The association between the continuous predictor and the continuous response is quadratic.

D.

The association between the binary predictor and the log-odds is quadratic.

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Questions 9

Refer to the exhibit:

A00-240 Question 9

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 10

Refer to the exhibit.

A00-240 Question 10

Which conclusion is justified concerning Sales, comparing stores A, B, and C?

Options:

A.

Store B is significantly different from store A.

B.

Store C is significantly different from Store A.

C.

Store B is significantly different from store C.

D.

There is no significant difference between stores.

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Questions 11

Refer to the exhibit:

A00-240 Question 11

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?

Options:

A.

Age Weight RunTime RunPulse MaxPulse

B.

Age Weight RunTime RunPulse RestPulse MaxPulse

C.

RestPulse

D.

RunTime

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Questions 12

Refer to the exhibit:

A00-240 Question 12

Which SAS program produced the graph?

A00-240 Question 12

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Questions 13

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

Options:

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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Questions 14

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 14

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 14

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Questions 15

This question will ask you to provide a missing option.

A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in viewing the regression equation parameter estimates for each of the design variables.

Which option completes the program to produce the regression equation parameter estimates?

A00-240 Question 15

Options:

A.

Solve

B.

Estimate

C.

Solution

D.

Est

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Questions 16

Select the equivalent LOGISTIC procedure model statements. (Choose two.)

Options:

A.

Mode1 Purchase * Gender Age Region;

B.

Mode1 Purchase * Gender | Age | Region;

C.

Mode1 Purchase * Gender|Age|Region @1;

D.

Mode1 Purchase * Gender|Age|Region @2;

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Questions 17

What is the default method in the LOGISTIC procedure to handle observations with missing data?

Options:

A.

Missing values are imputed.

B.

Parameters are estimated accounting for the missing values.

C.

Parameter estimates are made on all available data.

D.

Only cases with variables that are fully populated are used.

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Questions 18

Given the following LOGISTIC procedure:

A00-240 Question 18

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

Options:

A.

OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.

B.

OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities

C.

OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.

D.

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

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Questions 19

Refer to the exhibit:

A00-240 Question 19

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 exhibit, which statement is true?

Options:

A.

The AIC champion model is more parsimonious than the SBC champion.

B.

The SBC champion model is more parsimonious than the AIC champion.

C.

The R-Square champion model is the most parsimonious.

D.

Adjusted R-Square and R-Square agree on the champion model.

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Questions 20

Refer to the REG procedure output:

A00-240 Question 20

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

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Questions 21

The PROC LOGISTIC options SELECTION=SCORE and BEST=2 are used in a MODEL statement to generate a series of predictive models. The models are assigned numbers in order from 1 to 99 reflecting the fact that there are 50 candidate input variables. Results from the collection of derived models are used to generate the following plot of overall average profit by model number. Results are restricted to models with at least 9 inputs and at most 40 inputs.

A00-240 Question 21

The maximum value for the training data occurs for model number 46, and the maximum value for the validation data occurs for model number 43.

If you base model selection solely on overall average profit, what is the correct choice?

Options:

A.

Select model 46

B.

Select model 43

C.

Select model 45

D.

Select model 21

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Questions 22

Refer to the following odds ratio table:

A00-240 Question 22

What is a correct interpretation of the estimate?

Options:

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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Questions 23

An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.

Which statement and option combination will generate these statistics?

Options:

A.

Score data=valid1 out=roc;

B.

Score data=valid1 outroc=roc;

C.

mode1 resp(event= ' 1 ' ) = gender region/outroc=roc;

D.

mode1 resp(event " 1 " ) = gender region/ out=roc;

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Questions 24

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

Which SAS procedure provides a viable solution?

Options:

A.

GLM

B.

VARCLUS

C.

STDI2E

D.

CLUSTER

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Questions 25

One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).

What problem does this present?

Options:

A.

All parameter estimates are biased.

B.

Only the intercept estimate is biased.

C.

Only the non-intercept parameter estimates are biased.

D.

Sensitivity estimates are biased.

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Questions 26

The standard form of a linear regression model is:

A00-240 Question 26

Which statement best summarizes the assumptions placed on the errors?

Options:

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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Questions 27

When working with smaller data sets (N < 200), which method is preferred to perform honest assessment?

Options:

A.

Training: 40% Validation: 30% Testing: 30%

B.

K-fold cross validation

C.

Cross validation using 4th quartile observations

D.

Use the AIC goodness of fit statistic

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Questions 28

Which SAS program will correctly use backward elimination selection criterion within the REG procedure?

A00-240 Question 28

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Questions 29

Refer to the lift chart:

A00-240 Question 29

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

Options:

A.

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

B.

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

C.

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

D.

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

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Exam Code: A00-240
Exam Name: SAS Statistical Business Analysis SAS9: Regression and Model
Last Update: Apr 30, 2026
Questions: 99

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