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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?
Suggested Answer: C
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31 comments · newest first
TI
Tiffiny
11 months ago
I doubt any of these options really cover the analysis needed.
FR
Francoise
11 months ago
Wait, why is there a categorical predictor? That’s kinda surprising!
LA
Lashaunda
11 months ago
Not so sure about that, I lean towards Option D.
LO
Louis
12 months ago
I think Option A is the best fit!
BO
Bok
12 months ago
Option C looks like the right choice based on the predictors.
WI
Willodean
1 year ago
I think Option B looks familiar, but I’m not entirely confident. I hope it’s not one of those tricky ones!
ME
Merissa
1 year 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.
LA
Lashandra
1 year ago
I think we practiced a similar question where we had to include both continuous and categorical predictors. Was it PROC LOGISTIC?
TO
Tora
1 year ago
I remember we discussed logistic regression for binary outcomes like this, but I’m not sure which SAS code to use.
SE
Selene
1 year 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.
PO
Polly
1 year 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.
FA
Fausto
1 year 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.
PA
Pa
1 year 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.
JA
Jacquline
2 years 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!
AN
Anjelica
1 year ago
Option C it is then, thanks for the input!
ED
Edmond
1 year ago
Definitely, Option C is the best choice for this scenario.
JO
Jose
1 year ago
Yeah, I agree. It's perfect for a binary target variable like Respond.
LO
Lorenza
1 year ago
I think logistic regression is the way to go for this analysis.
FR
Frederic
2 years 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.
BE
Bernadine
1 year ago
I agree, Option C is the way to go when dealing with historical datasets like CAMPAIGN.
SO
Sophia
1 year ago
Option C is definitely the best choice for this analysis.
MA
Mayra
2 years 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.
DO
Dorothy
2 years 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.
ST
Stephen
2 years 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.
OL
Olen
1 year ago
Option C it is then, let's see how it performs with the historical dataset.
MA
Margart
1 year ago
I would also go with Option C, it looks like the right tool for the job.
LA
Lajuana
1 year ago
I agree, Option C seems to have the necessary components for predictive modeling.
GO
Golda
1 year ago
I think Option C is the best choice for this analysis.
CR
Crissy
2 years ago
I'm not sure, but I think Option C could also be a good option because of the historical dataset provided.
RE
Ressie
2 years ago
I agree with Karon, Option B seems like the best choice for this scenario.
KA
Karon
2 years ago
I think the SAS program that performs this analysis is Option B.