In: Economics
Chapter 5
Question 5.1
Sherwin-Williams Company aims to develop a demand model for its line of exterior house paints. The most important variables affecting paint sales (Y) (measured in gallons) are:
Promotional expenditures (A): expenditures on advertising
Selling price (P)
The chief manager decides to collect data on the variables in a sample of 10 company sales regions that are roughly equal in population. Data on paint sales, promotional expenditures are shown in Table 5.1.
The company is interested in developing a multiple regression model with paint sales (Y) as the dependent variable and promotional expenditures (A) and selling price (P as the independent variable.
An estimated regression equation for Sherwin-Williams paint would be specified as follows:
Y = a + b1A + b2P.
Table 5.1
Sales region |
Sales (Y) |
Promotional expenditures (A) |
Selling price (P) |
1 |
160 |
150 |
15 |
2 |
220 |
160 |
13.5 |
3 |
140 |
50 |
16.5 |
4 |
190 |
190 |
14.5 |
5 |
130 |
90 |
17 |
6 |
160 |
60 |
16 |
7 |
200 |
140 |
13 |
8 |
150 |
110 |
18 |
9 |
210 |
200 |
12 |
10 |
190 |
100 |
15.5 |
(Please use up to three decimal points)
(Hint: explain how one unit increase in each independent variable influences a dependent variable, when all other things being equal)
PLEASE SHOW WORK
a.
b. Intercept a = 344.585, b1 = 0.1064, b2 = -12.111
c. Intercept a = 344.585 means even when b1 and b2 are equal to
zero, the average sales would be of 344.585 units of house
paints
b1 = 0.1064, means with one unit increase in promotional
expenditures, there would be 0.1064 units increase in the sales of
house paints
b2 = -12.111, means with one unit increase in selling price, there
would be 12.111 units decrease in the sales of house paints
d. As the P-value for b1 is greater than 0.05, the slope
coefficient for promotional expenditures (A) is not significant at
5 percent level
e. As the P-value for b2 is less than 0.05, the slope coefficient
for selling price (P) is significant at 5 percent level