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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

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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Question 2

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.

Question 3

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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