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SAS A00-240 Exam - Topic 10 Question 104 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 104
Topic #: 10
[All A00-240 Questions]

A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.

The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.

It has the following characteristics:

Target variable Respond (0, 1)

Continuous predictor Income

Categorical predictor Homeowner(Y, N)

Which SAS program performs this analysis?

Show Suggested Answer Hide Answer
Suggested Answer: C

by Shizue at Dec 04, 2024, 07:38 PM

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Tiffiny
3 months ago
I doubt any of these options really cover the analysis needed.
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Francoise
3 months ago
Wait, why is there a categorical predictor? That’s kinda surprising!
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Lashaunda
4 months ago
Not so sure about that, I lean towards Option D.
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Louis
4 months ago
I think Option A is the best fit!
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Bok
4 months ago
Option C looks like the right choice based on the predictors.
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Willodean
4 months ago
I think Option B looks familiar, but I’m not entirely confident. I hope it’s not one of those tricky ones!
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Merissa
4 months ago
I feel like I might confuse the options. I remember something about specifying the target variable, but I can't recall the exact syntax.
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Lashandra
5 months ago
I think we practiced a similar question where we had to include both continuous and categorical predictors. Was it PROC LOGISTIC?
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Tora
5 months ago
I remember we discussed logistic regression for binary outcomes like this, but I’m not sure which SAS code to use.
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Selene
5 months ago
This seems straightforward enough. I'd go with Option C, which looks like it's using the LOGISTIC procedure in SAS to fit the model. That should give me the insights I need to identify the customers most likely to respond to the marketing campaign.
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Polly
5 months ago
Okay, I think I've got a plan. I'll use logistic regression to model the binary target variable Respond. I'll include Income as a continuous predictor and Homeowner as a categorical predictor. Then I can evaluate the model's performance and see which variables are most important.
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Fausto
5 months ago
Hmm, I'm a bit confused about the predictor variables. Is Income continuous or categorical? And how should I handle the Homeowner variable? I'll need to do some research on the best way to approach this.
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Pa
5 months ago
This looks like a classic binary classification problem. I'd start by exploring the data, checking for missing values, and understanding the distribution of the target variable and predictors.
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Jacquline
10 months ago
Wait, is this a trick question? I mean, who wouldn't want to use logistic regression for a binary target variable like Respond? Option C all the way, baby!
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Anjelica
8 months ago
Option C it is then, thanks for the input!
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Edmond
9 months ago
Definitely, Option C is the best choice for this scenario.
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Jose
9 months ago
Yeah, I agree. It's perfect for a binary target variable like Respond.
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Lorenza
9 months ago
I think logistic regression is the way to go for this analysis.
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Frederic
11 months ago
I'm just imagining the marketing manager trying to wrangle that CAMPAIGN dataset, like a rodeo clown tackling a wild bull. Option C is the way to go, no doubt about it.
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Bernadine
10 months ago
I agree, Option C is the way to go when dealing with historical datasets like CAMPAIGN.
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Sophia
10 months ago
Option C is definitely the best choice for this analysis.
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Mayra
11 months ago
Oh man, I bet the marketing manager is really hoping to find those high-income homeowners who'll buy anything. Option C is definitely the way to go here.
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Dorothy
11 months ago
Option A seems tempting, but I doubt a simple t-test would be enough to capture the complexity of this marketing campaign analysis. I'd have to go with Option C for this one.
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Stephen
11 months ago
Hmm, this seems like a classic case of predictive modeling. I'd go with Option C - it looks like it has the right components to tackle this problem using logistic regression.
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Olen
9 months ago
Option C it is then, let's see how it performs with the historical dataset.
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Margart
9 months ago
I would also go with Option C, it looks like the right tool for the job.
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Lajuana
10 months ago
I agree, Option C seems to have the necessary components for predictive modeling.
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Golda
10 months ago
I think Option C is the best choice for this analysis.
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Crissy
11 months ago
I'm not sure, but I think Option C could also be a good option because of the historical dataset provided.
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Ressie
11 months ago
I agree with Karon, Option B seems like the best choice for this scenario.
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Karon
11 months ago
I think the SAS program that performs this analysis is Option B.
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