Q: 7
A marketing effectiveness analyst based in an emerging market obtains the following multiple linear
regression output for predicting sales as function of price (Price), distribution (Distribution) and
advertising (Ads). Some issues occurred with the software, and some of the regression results are
corrupted on the output.
What interpretation should be made from the output?
What interpretation should be made from the output?Options
Discussion
Option A. C is tempting but the output doesn't show adjusted R square. The trap is thinking you can see more details than you actually can with the corrupted output. I've seen this in similar practice sets.
Its C. That adjusted R square range looks reasonable for a multiple regression in marketing, especially with those predictors. Saw a lot of practice sets use 0.8+ for model fits. I get A is tempting since the sign thing is clear, but sometimes those outputs throw curveballs if stats are missing. Let me know if I'm misreading the question.
Option A
No idea why these Blueprint questions love corrupted output, but it’s not C. A is the only one you can actually see from the table-the price coefficient is obviously positive. Not 100% but I've seen similar in practice dumps.
Nah, I don't think it's C. Most of the output is corrupted except for the price coefficient, which is clearly positive. The t-stats and adjusted R square parts can't really be confirmed from what's visible so A seems safest here (trap is thinking you can trust those missing details). Pretty sure that's right but let me know if you see something I missed.
You can actually make out that the price coefficient is clearly positive in the table, so I'd go with A. The other stuff is murky due to corrupted output, so not fully certain but that's what stands out to me. Agree?
A - saw a similar setup in some exam reports, only the price coefficient sign was totally clear in those outputs.
A is the one that matches what you can actually see in the regression output. Pretty sure the price coefficient has a positive sign on that table, while others are questionable with corrupted values. Could be wrong if something in the image was hidden though, open to feedback.
A
Saw something like this in a practice test, A was the right call there.
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