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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Matthew

19 days ago

I don't know, guys. Greenacre's method sounds a bit like rocket science to me. Maybe we should just ask the professor for the answer key.

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Isaac

25 days ago

Ah, the number of cases in each zip_code, the classic approach. I like it, nice and straightforward.

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Sage

1 months ago

I'm not sure about using dummy coded zip_code levels as inputs. Doesn't that seem a bit like overkill for this problem?

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Alishia

7 days ago

B) Clustering the levels using the zip_code values as input.

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Youlanda

19 days ago

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

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Ligia

1 months ago

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

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Willetta

1 months ago

Clustering the levels using the zip_code values as input? That's a bold move, Cotton. Let's see if it pays off.

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Lenna

17 days ago

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

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William

2 months 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

2 months 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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Oneida

15 days ago

I think so too. It's important to consider the target proportion when clustering the levels.

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Alesia

24 days ago

I think so too. It's important to consider the target proportion when clustering the levels.

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Bernadine

25 days ago

I agree, option A makes the most sense. It takes into account the target proportion for each zip_code.

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Ena

1 months ago

I agree, option A makes the most sense. It takes into account the target proportion for each zip_code.

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Malinda

2 months 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

2 months 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

2 months 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

2 months 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

2 months 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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