Question 9 (1 point)

Year	Advertising	Quality_Control	Sales_Revenue
1	8	3	97.5
2	7	4	107.0
3	7	5	105.5
4	9	4	111.6
5	9	5	119.8
6	10	5	134.7
7	11	3	117.1
8	12	3	127.5
9	13	4	139.5
10	11	4	112.0
11	10	5	141.4
12	12	6	133.2
13	14	6	162.4
14	15	5	152.4
15	15	4	125.0

This is same regression data as the previous question. BUT, you now need to run a new regression using BOTH Advertising and Quality Control as independent variables. Your Excel regression output now will show observations = 15 and R2 = 0.77 (approximate). Based on the regression output, which statement below is False?

Question 9 options:

a)	Since Adjusted R2 for model using both Advertising and Quality Control is > Adjusted R2 for model with just Advertising, we should use the model with both Advertising and Quality Control.

b)	Since R2 for model using both Advertising and Quality Control is > R2 for model with just Advertising, we should use the model with both Advertising and Quality Control.

c)	Based on t-statistics and their p-values, we are 99% sure that the coefficient on Quality Control is Not = 0.

d)	Given the p-value on the F-statistic, we are 99.9% sure that one of, or both, of the coefficients on Advertising and Quality Control are Not = 0.