Answer:
y = 41.603X + 3.582
Explanation:
Given the data:
Week ___Price ____ Sales
1 _______.33 _______20
2 ______ .25 _______ 14
3 ______ .44 _______ 22
4 ______ .40 _______ 21
5 ______ .35 _______ 16
6 ______ .39 _______ 19
7 ______ .29 _______ 15
Using the linear regression calculator ; The regression equation obtained is :
y = 41.603X + 3.582
Where ;
y = sales (predicted variable)
x = price (predictor variable)
Slope = 41.603
Intercept = 3.582