Question

1 CEO Data Company Compensation ($mil)Stock Return (%) 75.49 14.55 CompanyA Company B Company O CompanyD Company E Company F

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.

(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? 

  •  Stock return 

  • Compensation 

(b) Draw a scatter diagram of the data. Use the result from part (a) to determine the explanatory variable. Choose the correct graph below.

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(c) Determine the linear correlation coefficient between compensation and stock return. Round to three decimal places as needed.)

(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? The linear correlation coefficient is close to _______  so _______  linear relation exists between compensation and stock return. It appears that stock performance plays _______  role in determining the compensation of a CEO.

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Answer #1

a) As stock return is deciding the compensation here, Stock return is the explanatory variable here.

b) Scatter diagram of Compensation vs stock return looks as follows. Hence, C is the correct option.

c) Linear correlation, r = CORREL(Compensation, Stock Return) = -0.021

d) The linear correlation is close to 0 so no linear relation exists between compensation and stock return.  

It appears that stock performance plays no role in determining the compensation of a CEO

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