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A00-240 Questions and Answers

Question # 6

The SAS data set RESULT contains the following variables:

  • Region (GrpA or GrpB)
  • Sales (dollars per year)

Which SAS programs can be used to find the p-value for comparing GrpA sales with GrpB sales? (Choose two.)

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 7

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?

A.

Solve

B.

Estimate

C.

Solution

D.

Est

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Question # 8

Refer to the REG procedure output:

The Intercept estimate is interpreted as:

A.

The predicted value of the response when all the predictors are at their current values.

B.

The predicted value of the response when all predictors are at their means.

C.

The predicted value of the response when all predictors = 0.

D.

The predicted value of the response when all predictors are at their minimum values.

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Question # 9

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 # 10

Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question # 11

Refer to the following odds ratio table:

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 # 12

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?

A.

Collinearity is a problem since all variance inflation values are less than 10.

B.

Collinearity is not a problem since all variance inflation values are less than 10.

C.

Collinearity is not a problem since all Pr>|t| values are less than 0.05.

D.

Collinearity is a problem since all Pr>|t| values are less than 0.05.

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Question # 13

Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

A.

Candidate 1, because the area outside the curve is greater

B.

Candidate 2, because the area under the curve is greater

C.

Candidate 1, because it is closer to the diagonal reference curve

D.

Candidate 2, because it shows less over fit than Candidate 1

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Question # 14

Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

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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