Corvette, Ferrari, and Jaguar produced a variety of classic cars that continue to increase in value. The following data, based upon the Martin Rating System for Collectible Cars, show
Corvette, Ferrari, and Jaguar produced a variety of classic cars that continue to increase in value. The following data, based upon the Martin Rating System for Collectible Cars, show
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:8. Corvette, Ferrari, and Jaguar produced a variety of classic cars that continue to increase in
value. The following data, based upon the Martin Rating System for Collectible Cars, show
the rarity rating (1–20) and the high price ($1000) for 15 classic cars.

Transcribed Image Text:Year
Make
Model
Rating
Price ($1000)
1984
Chevrolet
Corvette
18
1600.0
Corvette 265/225-hp
Corvette coupe (340-bhp 4-speed)
Corvette coupe Silver Anniversary
1956
Chevrolet
19
4000.0
Chevrolet
Chevrolet
1963
18
1000.0
1978
19
1300.0
Ferrari
1960–1963
1962–1964
1962
250 GTE 2+2
16
350.0
Ferrari
250 GTL Lusso
19
2650.0
DATA file
Ferrari
250 GTO
18
375.0
275 GTB/4 NART Spyder
365 GTB/4 Daytona
E-type OTS
E-type Series II OTS
E-type Series III OTS
XK 120 roadster (steel)
XK C-type
1967–1968
1968–1973
ClassicCars
Ferrari
17
450.0
Ferrari
17
140.0
1962–1967
1969–1971
77.5
Jaguar
Jaguar
Jaguar
Jaguar
Jaguar
Jaguar
15
14
62.0
1971–1974
16
125.0
1951–1954
17
400.0
1950–1953
16
250.0
1956–1957
XKSS
13
70.0
Develop a scatter diagram of the data using the rarity rating as the independent vari-
able and price as the independent variable. Does a simple linear regression model
appear to be appropriate?
b. Develop an estimated multiple regression equation with x = rarity rating and x as the
two independent variables.
Consider the nonlinear relationship shown by equation (16.7). Use logarithms to
develop an estimated regression equation for this model.
d. Do you prefer the estimated regression equation developed in part (b) or part (c)? Explain.
а.
с.
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