Bus and subway ridership for the summer months in London, England, is believed to be tied heavily to the number of tourists visiting the city. During the past 12 years, the following data have been obtained: Year 1 3 4 6 7 8 9 10 11 12 Number of Tourists (in millions) 7 2 4 14 15 16 12 14 20 15 Ridership (in millions) 1.5 0.9 1.3 1.6 2.4 2.8 2.5 2.1 2.7 4.4 3.3 1.
Bus and subway ridership for the summer months in London, England, is believed to be tied heavily to the number of tourists visiting the city. During the past 12 years, the following data have been obtained: Year 1 3 4 6 7 8 9 10 11 12 Number of Tourists (in millions) 7 2 4 14 15 16 12 14 20 15 Ridership (in millions) 1.5 0.9 1.3 1.6 2.4 2.8 2.5 2.1 2.7 4.4 3.3 1.
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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Question
![Bus and subway ridership for the summer months in London, England, is believed to be tied heavily to the number of
tourists visiting the city. During the past 12 years, the following data have been obtained:
Year
1
2
3
4
6
7
8
9
10
11
12
Number of Tourists (in millions)
7
2
4
14
15
16
12
14
20
15
7
Ridership (in millions)
1.5
0.9
1.3
1.6
2.4
2.8
2.5
2.1
2.7
4.4
3.3
1.8
This exercise contains only parts b, c, d, e, and f.
b) The least-squares regression equation that shows the best relationship between ridership and the number of tourists
is (round your responses to three decimal places):
y = 0.519 + 0.160 x
where y = Dependent Variable and x = Independent Variable.
c) If it is expected that 10 million tourists will visit London, then the expected ridership = 2.12 million riders (round your
response to two decimal places).
d) If there are no tourists at all, then the model still predicts a ridership. This is due to the fact that zero tourists are
outside the range of data used to develop the model.
e) The standard error of the estimate developed using least-squares regression = |
places).
| (round your response to three](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff2b83517-28a3-4df3-bdec-c3fc457d4585%2Ff9a9d1a0-b3a2-40a9-adb9-194c70c44bda%2F4hftore_processed.png&w=3840&q=75)
Transcribed Image Text:Bus and subway ridership for the summer months in London, England, is believed to be tied heavily to the number of
tourists visiting the city. During the past 12 years, the following data have been obtained:
Year
1
2
3
4
6
7
8
9
10
11
12
Number of Tourists (in millions)
7
2
4
14
15
16
12
14
20
15
7
Ridership (in millions)
1.5
0.9
1.3
1.6
2.4
2.8
2.5
2.1
2.7
4.4
3.3
1.8
This exercise contains only parts b, c, d, e, and f.
b) The least-squares regression equation that shows the best relationship between ridership and the number of tourists
is (round your responses to three decimal places):
y = 0.519 + 0.160 x
where y = Dependent Variable and x = Independent Variable.
c) If it is expected that 10 million tourists will visit London, then the expected ridership = 2.12 million riders (round your
response to two decimal places).
d) If there are no tourists at all, then the model still predicts a ridership. This is due to the fact that zero tourists are
outside the range of data used to develop the model.
e) The standard error of the estimate developed using least-squares regression = |
places).
| (round your response to three
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