A regression analysis between sales ( Y in $1,000 ) and advertising (X in $1,000) resulted in the following equation = 14,200 + 2.6 X The above equation implies that … … an increase of $ 14,200 in advertising is associated with an increase of $ 14,200 in sales … an increase of $ 1,000 in advertising is associated with an increase of $ 14,200 in sales … an increase of $ 2,600 in advertising is associated with an increase of $ 1,000 in sales … an increase of $ 1,000 in advertising is associated with an increase of $ 2,600 in sales
A regression analysis between sales ( Y in $1,000 ) and advertising (X in $1,000) resulted in the following equation = 14,200 + 2.6 X The above equation implies that … … an increase of $ 14,200 in advertising is associated with an increase of $ 14,200 in sales … an increase of $ 1,000 in advertising is associated with an increase of $ 14,200 in sales … an increase of $ 2,600 in advertising is associated with an increase of $ 1,000 in sales … an increase of $ 1,000 in advertising is associated with an increase of $ 2,600 in sales
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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regression analysis between sales ( Y in $1,000 ) and advertising (X in $1,000) resulted in the following equation
= 14,200 + 2.6 X
The above equation implies that …
- … an increase of $ 14,200 in advertising is associated with an increase of $ 14,200 in sales
- … an increase of $ 1,000 in advertising is associated with an increase of $ 14,200 in sales
- … an increase of $ 2,600 in advertising is associated with an increase of $ 1,000 in sales
- … an increase of $ 1,000 in advertising is associated with an increase of $ 2,600 in sales
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