The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and To investigate the relationship between the car’s mileage and the sales price for  Camrys, the following data show the mileage and sale price for 19 sales (PriceHub Web  site, February 24, 2012). Miles (1000s) Price ($1,000s)  22                    16.2 29                    16.0 36                    13.8 47                    11.5 63                    12.5 77                    12.9 73                    11.2 87                    13.0 92                    11.8 101                  10.5 110                  8.3 28                    12.5 59                    11.1 68                    15.0 68                    12.2 91                    13.0 42                    15.6 65                    12.7 110                  8.3                                                       Develop an estimated regression equation showing how price is related to miles. What is the estimated regression model? Test whether each of the regression parameters b0 and b1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? How much of the variation in the sample values of price does the model estimated in part b explain

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 26PPS
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  1. The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and To investigate the relationship between the car’s mileage and the sales price for  Camrys, the following data show the mileage and sale price for 19 sales (PriceHub Web  site, February 24, 2012).

Miles (1000s) Price ($1,000s) 

22                    16.2

29                    16.0

36                    13.8

47                    11.5

63                    12.5

77                    12.9

73                    11.2

87                    13.0

92                    11.8

101                  10.5

110                  8.3

28                    12.5

59                    11.1

68                    15.0

68                    12.2

91                    13.0

42                    15.6

65                    12.7

110                  8.3                  

                                   

  1. Develop an estimated regression equation showing how price is related to miles. What is the estimated regression model?
  2. Test whether each of the regression parameters b0 and b1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable?
  3. How much of the variation in the sample values of price does the model estimated in part b explain?

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