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According to Advertising Age' s annual salary review, Mark Hurd, the 49-year-old chairman, president, and CEO of Hewlett-Packard Co., received an annual salary of $817,000,

According to Advertising Age's annual salary review, Mark Hurd, the 49-year-old chairman, president, and CEO of Hewlett-Packard Co., received an annual salary of $817,000, a bonus of more than $5 million, and other compensation exceeding $17 million. His total compensation was slightly better than the average CEO total pay of $12.4 million. The following table shows the age and annual salary (in thousands of dollars) for Mark Hurd and 14 other executives who led publicly held companies (Advertising Age, December 5, 2006).

Executive Title Company Age Salary ($1000s)
Charles Prince Chmn/CEO Citigroup 56 1000
Harold McGraw III CHMN/Pres/CEO McGraw-Hill Cos 57 1172
James Dimon Pres/CEO JP Morgan Chase & Co. 50 1000
K. Rupert Murdoch Chmn/CEO News Corp 75 4509
Kenneth D. Lewis CHMN/Pres/CEO Bank of America 58 1500
Kenneth I. Chenault Chmn/CEO American Express Co. 54 1092
Louis C. Camilleri Chmn/CEO Altria Group 51 1663
Mark Hurd CHMN/Pres/CEO Hewlett-Packard Co. 49 817
Martin S. Sorrell CEO WPP Group 61 1562
Robert L. Nardelli CHMN/Pres/CEO Home Depot 57 2164
Samuel J. Palmisano CHMN/Pres/CEO IBM Corp 55 1680
65David C. Novak CHMN/Pres/CEO Yum Brands 53 1173
Henry R. Silverman Chmn/CEO Cendant Corp. 65 3300
Robert C. Wright Chmn/CEO NBC Universal 62 2500
Sumner Redstone CHMN/Pres/CEO Viacom 82 5807

Required:

(1) Based on the information given in the problem, determine which of the two variables of interest is the independent variable and the dependent variable?

(2) Develop a scatter diagram for the two variables and label which is the predictor variable and which is the response variable?

(3) What does the scatter diagram developed in part (2) indicate about the relationship between the two variables?

(4) Verify your answer in (3) by calculating the correlation coefficient and interpret the results.

(5)Using the Least Squares Method, calculate the regression coefficients and formulate a model that will define the relationship between the two variables.

(6) Interpret the coefficients (slope & intercept) of your model.

(7)Calculate the coefficient of determination and interpret.

(8) Suppose Bill Gustin is the 72-year-old chairman, president, and CEO of a major electronics company.

Predict the annual salary for Bill Gustin.

(9) Suppose YOU are a CEO of a big company 10 years from now, predict your annual salary.

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