SAS Exam A00-240 Topic 4 Question 80 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 80
Topic #: 4

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?

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

BClustering the levels using the zip_code values as input.

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

DClustering the levels using dummy coded zip_code levels as inputs.

Show Suggested Answer

Suggested Answer: D

by Alecia at Jan 26, 2024, 10:49 PM

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William

3 days ago

I'm not sure, but I think C) Clustering the levels using the number of cases in each zip_code as input could also be a valid approach.

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Tabetha

3 days ago

Hmm, I think option A is the way to go. Using the target proportion for each zip_code as input seems like the most logical approach to cluster the levels.

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Malinda

4 days ago

I disagree, I believe it should be D) Clustering the levels using dummy coded zip_code levels as inputs.

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Rolande

5 days ago

I think the correct application is A) Clustering the levels using the target proportion for each zip_code as input.

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Ty

6 days ago

I agree with Layla, A) makes more sense because we want to reduce the number of levels based on the target variable.

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Emily

7 days ago

I disagree, I believe it should be D) Clustering the levels using dummy coded zip_code levels as inputs.

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Layla

13 days ago

I think the correct application is A) Clustering the levels using the target proportion for each zip_code as input.

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