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 knows that the categorical predictor, zip_code, is an important predictor of a binary target. However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.

What is the correct application of Greenacre's method in this situation?

Options:

Clustering the levels using the target proportion for each zip_code as input.

Clustering the levels using the zip_code values as input.

Clustering the levels using the number of cases in each zip_code as input.

Clustering the levels using dummy coded zip_code levels as inputs.

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Question 2

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.

Question 3

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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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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