Q. 4.65

Question

Corvette Prices. In Exercise 4.59. you determined a regression equation that can be used to predict the price of a Corvette, given its age.

a. Should that regression equation be used to predict the price of a 4-year-old Corvette? a 10-year-old Corvette? Explain your answers.

b. For which ages is the use of the regression equation to predict price reasonable?

Step-by-Step Solution

Verified
Answer

a. Using the regression equation for a 10 -year-old Corvette is not applicable (and would be extrapolation) since that age lies outside the range of ages included in the sample data.

b. The age between 1 and 6 years is the use of the regression equation to predict price reasonable.

1Part (a) Step 1: Given Information

The following table illustrates the values of 10 randomly selected Corvettes, divided by their age and price expressed in hundreds of dollars. The age is expressed by X, in the form of years, and price by Y, in the form of hundreds of dollars.

2Part (a) Step 2: Explanation

Here is the regression equation to determine the price (y) from the age (x).

y^=456.6019-27.9029x

Applying the concept:

Concept Used:

A regression line can be used to predict a value of the predictor variable if the value falls within the range of x-values given

The age of four years falls within the range of the provided x-values. As a result, using the derived regression line to estimate the price is plausible.

The age of ten falls beyond the range of the specified x-values. As a result, using the generated regression line to predict the price is not a good idea.

3Part (b) Step 3: Given Information

To determine the age interval over which the regression equation can be utilized to create a price prediction. 

4Part (b) Step 4: Explanation

From the given ages,

The minimum is 1-year-old.

The maximum is 6-years-old.

Using the calculated regression equation, it is reasonable to predict the price based on a Corvette that is between 1and 6 years old.