Hi everyone,
I am a new member, I am so glad to have found the forum. I'm tearing my hair out about this problem. These are my results:
"Views" = Hits on our company Facebook page.
"Reviews" = Number of 3rd party reviews published about our game that link to our website.
"Coupon" = Discount coupons for the game.
"Shareware" = Unique listings of our product on Shareware websites that link to our website.
"Price" = Pricing of our product. The product pricing was changed three times, starting at $19.99, down to $9.99, and then $6.99.
"Downloads" = Downloads of the trial version of the product from our website.
Am I right in interpreting this data to say that with an increase of 1 game review, product units sold will decrease by -6.94? Also, it is true that increased price decreases total unit sales, but the amount it decreases by seems larger than reality. Is the "Day" value skewing the results?
Here's how I got the results using R:
results <- summary(lm(Sales ~ Downloads + Price + Coupon + Shareware + Views + Reviews + Day))
, where "Sales" is the dependent variable and the other factors are independent variables.
Can someone tell me what I could have possibly done wrong to produce these counterintuitive results? Anyway ways to test their validity? I am so sorry if these question are stupid. I have to learn multiple regression for work, with very little background in math, and no teacher! Any help is appreciated, thanks!
I am a new member, I am so glad to have found the forum. I'm tearing my hair out about this problem. These are my results:

"Views" = Hits on our company Facebook page.
"Reviews" = Number of 3rd party reviews published about our game that link to our website.
"Coupon" = Discount coupons for the game.
"Shareware" = Unique listings of our product on Shareware websites that link to our website.
"Price" = Pricing of our product. The product pricing was changed three times, starting at $19.99, down to $9.99, and then $6.99.
"Downloads" = Downloads of the trial version of the product from our website.
Am I right in interpreting this data to say that with an increase of 1 game review, product units sold will decrease by -6.94? Also, it is true that increased price decreases total unit sales, but the amount it decreases by seems larger than reality. Is the "Day" value skewing the results?
Here's how I got the results using R:
results <- summary(lm(Sales ~ Downloads + Price + Coupon + Shareware + Views + Reviews + Day))
, where "Sales" is the dependent variable and the other factors are independent variables.
Can someone tell me what I could have possibly done wrong to produce these counterintuitive results? Anyway ways to test their validity? I am so sorry if these question are stupid. I have to learn multiple regression for work, with very little background in math, and no teacher! Any help is appreciated, thanks!
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