The accompanying data represent the total compensation for 12 randomly selected chief executive officers (CEO) and the company's stock performance in a recent year. Complete parts (a) through (d) below.
Company |
Compensation ($mil) |
Stock Return (%) |
|||
---|---|---|---|---|---|
Company A |
14.5514.55 |
75.4475.44 |
|||
Company B |
4.094.09 |
64.0464.04 |
|||
Company C |
7.127.12 |
142.09142.09 |
|||
Company D |
1.051.05 |
32.6932.69 |
|||
Company E |
1.971.97 |
10.6610.66 |
|||
Company F |
3.723.72 |
30.6130.61 |
|||
Company G |
12.0112.01 |
0.720.72 |
|||
Company H |
7.567.56 |
69.4569.45 |
|||
Company I |
8.438.43 |
58.7558.75 |
|||
Company J |
4.044.04 |
55.9855.98 |
|||
Company K |
20.9220.92 |
24.2924.29 |
|||
Company L |
6.696.69 |
32.2132.21 |
a) One would think that a higher stock return would lead to a higher compensation. Based on this, what would likely be the explanatory variable? choose one.
o Compensation
o Stock return
(b) Draw a scatter diagram of the data. Use the result from part (a) to determine the explanatory variable. Choose the correct graph below.
(c) Determine the linear correlation coefficient between compensation and stock return. r= ___
(d) Does a linear relation exist between compensation and stock return? Does stock performance appear to play a role in determining the compensation of a CEO?
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