The following data represent the price of a random sample of used Chevy Camaros, by age.

(a) Draw a scatter diagram treating the age of the car as the explanatory variable and price as the response variable.
(b) Find the correlation coefficient between age and price. Based on the correlation coefficient, is there a linear relation between age and price?
(c) Find the least-squares regression line treating age as the explanatory variable.
(d) Plot the residuals against the age of the car.
(e) Do you think that a linear model is appropriate for describing the relation between the age of the car and price? Why?

Price, y Age, x (years) (dollars) | (years) (dollars) Price, y Age, r 15,900 20,365 10,988 2 16,463 16,980 6. 10,824 19,995 9,995 1. 11,995 1 18,650 10,995 4 10,488 2. 4)