Company F 3.3 30 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160T 160 T 140 140 120+ 120- 100- 100 80 80 60 60 40 40 20 20 6 8 10 12 14 O 4 4 4 Cars in Service (1,000) Cars in Service (1,000) Cars in Service (1,000) 160 140 120+ 100 80 60 40 20- 0 4 6 8 10 12 14 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 negative linear relationship between cars in service (1,000s) and annual revenue ($ millions), There appears to be a positive 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 numerica 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. (e) A particular rental company has 11,000 cars in service. Use the estimated regression equation developed in part (c) to predict annual revenue (in $ millions) for this company. (Round your answer to the nearest integer.) $ million O Annual Revenue ($ millions) 0 2 2 0 2 6 8 10 12 160 T 140 120- 100 80 60 40 20- 14 0 . 6 8 10 12 14 2
Company F 3.3 30 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160T 160 T 140 140 120+ 120- 100- 100 80 80 60 60 40 40 20 20 6 8 10 12 14 O 4 4 4 Cars in Service (1,000) Cars in Service (1,000) Cars in Service (1,000) 160 140 120+ 100 80 60 40 20- 0 4 6 8 10 12 14 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 negative linear relationship between cars in service (1,000s) and annual revenue ($ millions), There appears to be a positive 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 numerica 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. (e) A particular rental company has 11,000 cars in service. Use the estimated regression equation developed in part (c) to predict annual revenue (in $ millions) for this company. (Round your answer to the nearest integer.) $ million O Annual Revenue ($ millions) 0 2 2 0 2 6 8 10 12 160 T 140 120- 100 80 60 40 20- 14 0 . 6 8 10 12 14 2
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
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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
137
Company C
9.0
102
Company D
5.5
39
Company E
4.2
40
Company F
3.3
30
(a) Develop a scatter diagram with the number of cars in service as the independent variable.
160 T
160-
1601
140
140
140
120-
E 120-
120-
100
100
100-
80
80
80
CO
60
60
60
40
40
40
20
20
20-
6 8 10 12 14
4 6 8 10 12 14
Cars in Service (1,000s).
●
4 6 8 10 12 14
Cars in Service (1,000)
4
Cars in Service (1,000)
Ⓡ
0
4
6
8
10
14
O
Cars in Service (1,000)
(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 negative linear 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).
(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.)
ŷ =
(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.
(e) A particular rental company has 11,000 cars in service. Use the estimated regression equation developed in part (c) to predict annual revenue (in $ millions) for this company. (Round your answer to the
nearest integer.)
$
million
Annual Revenue ($ millions)
0 2
160
140
120-
100
80
60
40
20+
2
.
12
0
2
DO
0
2
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