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    5   6   7   8   9    10    11   12 # of tourist (millions)   7     2    6    4    14    15   16   12   14   20   15  7  Ridership(millions) 1.6   1.1   1.4   1.5   2.6   2.8   2.5   1.9  2.7  4.4   3.5   1.6  b) The least squares regression equation that shows the best relationship between ridership and the number of tourists is                 ^y=[_]+[_]X where ^y= Dependent Variable and x= Independent Variable

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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    5   6   7   8   9    10    11   12

# of tourist (millions)   7     2    6    4    14    15   16   12   14   20   15  7 

Ridership(millions) 1.6   1.1   1.4   1.5   2.6   2.8   2.5   1.9  2.7  4.4   3.5   1.6 

b) The least squares regression equation that shows the best relationship between ridership and the number of tourists is 

               ^y=[_]+[_]X

where ^y= Dependent Variable and x= Independent Variable

Expert Solution
Step 1

Given information

Year  Tourist  Ridership
1 7 1.6
2 2 1.1
3 6 1.4
4 4 1.5
5 14 2.6
6 15 2.8
7 16 2.5
8 12 1.9
9 14 2.7
10 20 4.4
11 15 3.5
12 7 1.6
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