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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

An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.

What is the purpose of the training data set?

Options:

A.

To provide an unbiased measure of assessment for the final model.

B.

To compare models and select and fine-tune the final model.

C.

To reduce total sample size to make computations more efficient.

D.

To build the predictive models.

Question 3

Which characteristic of Studentized residuals indicate potential outliers?

Options:

A.

Only studentized residuals greater than negative two

B.

Only studentized residuals less than negative two and greater than two

C.

Only studentized residuals greater than two

D.

Only studentized residuals less than two and greater than negative two

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