SAS Institute A00-240 Practice Exam Dumps 2025

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.

Question 3

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:

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

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

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

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

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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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