| Number of Minutes | Dollar Sales |
| of Radio | |
| Advertising | |
| SALES) | |
| MINUTES) |
|
|
|
|
Week 1 | 2 | $1,400 |
Week 2 | 1 | $ 920 |
Week 3 | 3 | $1,100 |
Week 4 | 5 | $2,265 |
Week 5 | 5 | $2,890 |
Week 6 | 4 | $2,200 |
|
|
|
BJ’s wants to determine whether there is a linear relationship between the amount of radio advertising and the weekly sales. If a strong relationship exists, BJ’s wants to use the relationship to forecast sales. A graph of the data looks like this:
y
3,000
2,000
SALES in Dollars
1,000 B
0 1
(forecasted)
| 8 |
| .8 |
| 5 |
2 | |
4 |
|
= |
|
M |
|
x
2 | 3 | 4 | 5 | 6 | 7 |
|
| of Advertising |
|
10: Running Total and Statistics 135
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