SAS Institute A00-240 Practice Exam Dumps 2025

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

Question 1

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:

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

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

To reduce total sample size to make computations more efficient.

To build the predictive models.

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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:

The model will likely be overfit.

There will be a high rate of collinearity among input variables.

Complete case analysis means that fewer observations will be used in the model building process.

New cases with missing values on input variables cannot be scored without extra data processing.

Question 3

Refer to the exhibit.

Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?

Options:

Medium wrist size is significantly different than small wrist size.

Large wrist size is significantly different than medium wrist size.

Large wrist size is significantly different than small wrist size.

There is no significant difference due to wrist size.

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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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