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A00-240 Exam Dumps : SAS Statistical Business Analysis SAS9: Regression and Model

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

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Question 1

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

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

Options:

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 2

Refer to the lift chart:

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

Question 3

Refer to the confusion matrix:

Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome)

Click the calculator button to display a calculator if needed.

Options:

A.

25/48

B.

58/102

C.

25/B9

D.

58/81

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