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
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
Saw something like this in a practice test, A was the right call there.
Had something like this in a mock in an official guide, the answer was A.
Probably A, pretty sure the price coefficient is positive based on the image.
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