Toyota corporation conducts research on the relationship between the age of a car and its selling price. Below is the result from a sample of 12 used car dealers.
Car | Age (years) | Selling Price ($000) | ||||||||
1 | 10 | 8.3 | ||||||||
2 | 7 | 6.9 | ||||||||
3 | 14 | 1.4 | ||||||||
4 | 18 | 2.4 | ||||||||
5 | 8 | 6.8 | ||||||||
6 | 8 | 9.4 | ||||||||
7 | 8 | 7.5 | ||||||||
8 | 15 | 5.6 | ||||||||
9 | 13 | 5.6 | ||||||||
10 | 18 | 3.1 | ||||||||
11 | 6 | 9.4 | ||||||||
12 | 6 | 7.6 | ||||||||
Determine the regression equation. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)
Estimate the selling price of an 10-year-old car (in $000). (Round your answer to 3 decimal places.)
Interpret the regression equation (in dollars). (Round your answer to the nearest dollar amount.)
The regression equation is:
y = 11.579 - 0.496*x
The selling price of a 10-year-old car = 6.621
For every additional age of a car, the selling price will decrease by 0.496.
Period | Selling Price ($000) | Age (years) |
Period 1 | 8.3 | 10 |
Period 2 | 6.9 | 7 |
Period 3 | 1.4 | 14 |
Period 4 | 2.4 | 18 |
Period 5 | 6.8 | 8 |
Period 6 | 9.4 | 8 |
Period 7 | 7.5 | 8 |
Period 8 | 5.6 | 15 |
Period 9 | 5.6 | 13 |
Period 10 | 3.1 | 18 |
Period 11 | 9.4 | 6 |
Period 12 | 7.6 | 6 |
Intercept | 11.579 | |
Slope | -0.496 | |
Forecast | 6.621 | 10 |
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