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SAS A00-240 Exam - Topic 10 Question 40 Discussion

An analyst knows that the categorical predictor, storeId, is an important predictor of the target.However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.What are the two most effective ways to address the problem? (Choose two.)
B) Cluster by using Greenacre's method to combine stores that are similar. and C) Use subject matter expertise to combine stores that are similar.
A) Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
D) Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.

SAS A00-240 Exam - Topic 10 Question 40 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 40
Topic #: 10
[All A00-240 Questions]

An analyst knows that the categorical predictor, storeId, is an important predictor of the target.

However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.

What are the two most effective ways to address the problem? (Choose two.)

Show Suggested Answer Hide Answer
Suggested Answer: B, C

by Joni at May 07, 2022, 05:45 PM

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Alaine
7 months ago
Clustering is a solid approach, but it needs careful execution.
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Brittni
7 months ago
Eliminating store_id is a bad idea; it's important!
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Cordelia
8 months ago
Wait, randomly combining stores? That seems risky!
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Nobuko
8 months ago
Greenacre's method sounds complicated, but it could work.
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Arlene
8 months ago
Definitely agree with using subject matter expertise to combine stores!
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Lemuel
8 months ago
I feel like we practiced a similar question where we had to combine categorical variables, and using expertise seemed to work well then.
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Herminia
8 months ago
I think eliminating store_id entirely might not be the best option, but I can't recall if randomly grouping stores is a valid strategy.
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Ranee
8 months ago
Combining stores using subject matter expertise sounds like a practical approach, especially if we can identify clear similarities.
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Curtis
8 months ago
I remember we discussed clustering methods in class, but I'm not sure if Greenacre's method is the best choice here.
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Colene
8 months ago
Okay, let me think this through step-by-step. OpenGL/ES is definitely used for 3D graphics, and SGL is the 2D graphics library in Android. So A seems like the correct answer.
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Teresita
8 months ago
I think the key here is that the data is stored on the Archiver, so the solution must involve integrating the Archiver with the reporting system. Based on that, C seems like the most logical choice.
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Shasta
9 months ago
Hmm, I'm a little unsure about this one. I know we need to set up the intercompany accounting, but I'm not totally clear on all the specific steps. I'll need to read through the requirements carefully and make sure I understand each part.
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