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ASSINE Meula Question Help The accompanying data represent the total compensation for 12 randomly selected chief executive of

Assigned Media the total compensation for 12 randomly selected chief executive officers (CEO) and the companys sto d) below.

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Q) The accompanying data represent the total compensation for 12 randomly selected chief executed officers (CEO) and the company’s stock performance in recent year.

Company Compensation ($ mil) stock return(%)
Company A 14.56 75.43
Company B 4.12 64.02
Company C 7.06 142.03
Company D 1.07 32.75
Company E 1.93 10.64
Company F 3.78 30.66
Company G 12.06 0.74
Company H 7.55 69.41
Company I 8.84 58.68
Company J 4.07 55.94
Company K 20.87 24.26
Company L 6.67 32.33

Answer:

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?

Here Compensation ($ mil) is depend on the stock return (in %). So, the dependent variable is Compensation ($ mil) and explanatory variable (independent variable) is stock return.

The explanatory variable is Stock return

b) Draw scatter plot of the data. Use the result of part (a) to determine the explanatory variable.

The explanatory variable (independent variable) is stock return (in %)  and the dependent variable is Compensation ($ mil). Hence the correct scatter plot of Stock return and compensation is bellow

The answer is (C)

Scatter plot of stock return vs Compensation 25 20 15 Compensation($ mil) 10 5 . 0 0 20 40 120 140 160 60 80 100 Stock return

(C) Determine the linear correlation between compensation and stock returns.

The linear correlation between compensation and stock returns is -0.029.

That is, r = -0.029.

Explanation:

The correlation between compensation and stock netuon can be calculated by wing following formula (ory (x, y) = COV(X,Y) 11 X

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