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Cars (1,000s) Revenue Company (s millions) Company A 11.5 120 Company B 10.0 133 Company C 9.0 102 Company D 5.5 37 Company E 4.2 42 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160 140 120 * 100 160 160 160T 140 120 100 140 140 120 120 100 100 80 80 80 80 60 60 60 40 60 ... 40 20 40 20 40 .. 20 20 2 4 6 8 10 12 14 2 6 10 12 14 2 4 6 10 12 14 2 6 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1.000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? O There appears to be no noticeable relationship between cars in service (1,000s) and annual revenue ($ millions). O There appears to be a positive linear relationship between cars in service (1,000s) and annual revenue ($ millions). There appears to be a negative linear relationship between cars in service (1,000s) and annual revenue ($ millions). (e) Use the least squares method to develop the estimated regression equation that can be used to predict annual revenue (in $ millions) given the number of cars in service (in 1,000s). (Round your numerical values to three decimal places.) (d) For every additional car placed in service, estimate how much annual revenue will change (in dollars). (Round your answer to the nearest integer.) Annual revenue will increase by S , for every additional car placed in service.

Cars (1,000s) Revenue Company (s millions) Company A 11.5 120 Company B 10.0 133 Company C 9.0 102 Company D 5.5 37 Company E 4.2 42 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160 140 120 * 100 160 160 160T 140 120 100 140 140 120 120 100 100 80 80 80 80 60 60 60 40 60 ... 40 20 40 20 40 .. 20 20 2 4 6 8 10 12 14 2 6 10 12 14 2 4 6 10 12 14 2 6 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1.000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? O There appears to be no noticeable relationship between cars in service (1,000s) and annual revenue ($ millions). O There appears to be a positive linear relationship between cars in service (1,000s) and annual revenue ($ millions). There appears to be a negative linear relationship between cars in service (1,000s) and annual revenue ($ millions). (e) Use the least squares method to develop the estimated regression equation that can be used to predict annual revenue (in $ millions) given the number of cars in service (in 1,000s). (Round your numerical values to three decimal places.) (d) For every additional car placed in service, estimate how much annual revenue will change (in dollars). (Round your answer to the nearest integer.) Annual revenue will increase by S , for every additional car placed in service.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies. Cars Revenue Company (1,000s) ($ millions) Company A 11.5 120 Company B 10.0 133 Company C 9.0 102 Company D 5.5 37 Company E 4.2 42 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160T 160T 160 160- 140- 140 140 140 120 120 120 120- 100 100 100 100- 80 80 80 80 60 60 60 60 .. . 40 40 .. 40 40 20 20 20 20 4 6 8 10 12 14 2 4 8 10 12 14 2 4 6 8 10 12 14 2 4 6 8 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? O There appears to be no noticeable relationship between cars in service (1,000s) and annual revenue ($ millions). O There appears to be a positive linear relationship between cars in service (1,000s) and annual revenue ($ millions). O There appears to be a negative linear relationship between cars in service (1,000s) and annual revenue ($ millions). (c) Use the least squares method to develop the estimated regression equation that can be used to predict annual revenue (in $ millions) given the number of cars in service (in 1,000s). (Round your numerical values to three decimal places.) (d) For every additional car placed in service, estimate how much annual revenue will change (in dollars). (Round your answer to the nearest integer.) Annual revenue will increase by $ , for every additional car placed in service. Annual Revenue ($ millions) (suontur s) ənuənəN jenuuy
Transcribed Image Text:Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies. Cars Revenue Company (1,000s) ($ millions) Company A 11.5 120 Company B 10.0 133 Company C 9.0 102 Company D 5.5 37 Company E 4.2 42 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160T 160T 160 160- 140- 140 140 140 120 120 120 120- 100 100 100 100- 80 80 80 80 60 60 60 60 .. . 40 40 .. 40 40 20 20 20 20 4 6 8 10 12 14 2 4 8 10 12 14 2 4 6 8 10 12 14 2 4 6 8 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? O There appears to be no noticeable relationship between cars in service (1,000s) and annual revenue ($ millions). O There appears to be a positive linear relationship between cars in service (1,000s) and annual revenue ($ millions). O There appears to be a negative linear relationship between cars in service (1,000s) and annual revenue ($ millions). (c) Use the least squares method to develop the estimated regression equation that can be used to predict annual revenue (in $ millions) given the number of cars in service (in 1,000s). (Round your numerical values to three decimal places.) (d) For every additional car placed in service, estimate how much annual revenue will change (in dollars). (Round your answer to the nearest integer.) Annual revenue will increase by $ , for every additional car placed in service. Annual Revenue ($ millions) (suontur s) ənuənəN jenuuy
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