question archive The Revenue and Number of Employees of 17 companies are provided below: Employees Company (x) Revenue in millions (y) 1 14460 2450 2 17120 1710 3 3830 1290 4 10330 2720 5 635 1230 6 4760 2730 7 364 45 8 2190 1030 9 14160 1690 10 15 14 11 217 74 12 398 62 13 1020 729 14 210 130 15 377 64 16 654 104 17 453 172   a) Plot the Revenue against the number of Employees and comment on any possible relationship

The Revenue and Number of Employees of 17 companies are provided below: Employees Company (x) Revenue in millions (y) 1 14460 2450 2 17120 1710 3 3830 1290 4 10330 2720 5 635 1230 6 4760 2730 7 364 45 8 2190 1030 9 14160 1690 10 15 14 11 217 74 12 398 62 13 1020 729 14 210 130 15 377 64 16 654 104 17 453 172   a) Plot the Revenue against the number of Employees and comment on any possible relationship

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The Revenue and Number of Employees of 17 companies are provided below: Employees

Company (x) Revenue in millions (y)

1 14460 2450

2 17120 1710

3 3830 1290

4 10330 2720

5 635 1230

6 4760 2730

7 364 45

8 2190 1030

9 14160 1690

10 15 14

11 217 74

12 398 62

13 1020 729

14 210 130

15 377 64

16 654 104

17 453 172

 

a) Plot the Revenue against the number of Employees and comment on any possible relationship.

b) Determine the correlation coefficient of the Revenue against the number of employees and explain the result.

c) Estimate the Regression equation of the Revenue against the number of employees.

d) Use your regression to forecast the Revenue if a company had 10,000 employees. 

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