Solution-Regression model for company revenue

Regression model for company revenue

Reference no: EM132514982

Suppose that we build a multiple linear regression model for company revenue (in millions of dollars), with predictors R&D spending (in millions of dollars), advertising (in millions of dollars), and product rating (on a 1 to 10 scale). The estimated multiple regression model is:

Revenue = 6.7 + 1.2 (R&D) + 0.8 (Advertising) + 3.7 (Rating).

Which of the following is the best interpretation of the coefficient for the product rating?

-A higher product rating is associated with lower company revenue, when R&D spending and advertising is held fixed.

-There is no effect of product rating on revenue.

-A higher product rating is associated with higher revenue, when R&D spending and advertising are held fixed.

-A higher product rating is associated with higher revenue.

Reference no: EM132514982

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Regression model for company revenue

Reference no: EM132514982

Reference no: EM132514982

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