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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

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

Options:

A.

The sample means from the validation data set are applied to the training and test data sets.

B.

The sample means from the training data set are applied to the validation and test data sets.

C.

The sample means from the test data set are applied to the training and validation data sets.

D.

The sample means from each partition of the data are applied to their own partition.

Question 3

This question will ask you to provide a missing option.

Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:

means Region / =levene ;

Options:

A.

test

B.

adjust

C.

var

D.

hovtest

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