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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: A
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13 comments · newest first
ST
Stefania
12 months ago
Not sure if any of these options really fit the bill.
ME
Meaghan
12 months ago
Totally agree with Candida, C is the way to go!
ST
Stefanie
1 year ago
Wait, why is there a categorical predictor? Seems odd.
KR
Kristofer
1 year ago
I think Option A might actually be better.
CA
Candida
1 year ago
Option C looks like the right choice for this analysis.
TA
Tammara
1 year ago
I’m a bit confused about the categorical predictor. Does it matter if we use CLASS statements in the SAS code? I think it might be important for homeowners.
DE
Desirae
1 year ago
I think the key here is to identify the right procedure for binary outcomes. I recall that PROC LOGISTIC is often used for this type of analysis.
MA
Maxima
1 year ago
I remember we practiced a similar question about logistic regression with categorical and continuous variables. I think we need to look for a PROC LOGISTIC option.
HA
Hayley
1 year ago
I'm not entirely sure, but I feel like one of the options has a PROC GLM, which might not be right for this binary outcome.
AH
Ahmed
1 year ago
Hmm, I'm a bit confused about the Apache requirement in option C. I'll need to review my notes on Java Server Pages and web server configurations for GVP solutions.
BU
Buffy
1 year ago
Alright, let's do this! I'm feeling confident I can nail this question.
WY
Wynell
1 year ago
This is a good test question. I remember learning about the core components of Cisco DNA Center, so I think I can nail this one if I just focus and recall the key details.
AL
Albina
1 year ago
Okay, let me see. If the company is moving to a finish-to-order model, that means they'll be producing goods based on actual customer orders rather than forecasts. So I'd guess that forecasts will become more detailed, since they'll need more accurate demand information. I'll go with D.