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
Verifieda. 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 and years is the use of the regression equation to predict price reasonable.
The following table illustrates the values of randomly selected Corvettes, divided by their age and price expressed in hundreds of dollars. The age is expressed by , in the form of years, and price by , in the form of hundreds of dollars.
Here is the regression equation to determine the price from the age
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 values given
The age of four years falls within the range of the provided 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.
To determine the age interval over which the regression equation can be utilized to create a price prediction.
From the given ages,
The minimum is year-old.
The maximum is years-old.
Using the calculated regression equation, it is reasonable to predict the price based on a Corvette that is between and years old.