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Concept explainers
On March 31, 2009, Ford Motor Company’s shares were trading at a 26-year low of $2.63. Ford’s board of directors gave the CEO a grant of options and restricted shares with an estimated value of $16 million. On April 26, 2011, the price of a share of Ford had increased to $15.58, and the CEO’s grant was worth $202.8 million, a gain in value of $186.8 million. The following table shows the share price in 2009 and 2011 for 10 companies, the stock-option and share grants to the CEOs in late 2008 and 2009, and the value of the options and grants in 2011. Also shown are the percentage increases in the stock price and the percentage gains in the options values (The Wall Street Journal, April 27, 2011).
Company | Stock Price 2009 ($) | Stock Price 2011 ($) | % Increase in Stock Price | Options and Grants Value 2009 ($ millions) | Options and Grants Value 2011 ($ millions) | % Gain in Options Value |
Ford Motor | 2.63 | 15.58 | 492 | 16.0 | 202.8 | 1168 |
Abercrombie & Fitch | 23.80 | 70.47 | 196 | 46.2 | 196.1 | 324 |
Nabors Industries | 9.99 | 32.06 | 221 | 37.2 | 132.2 | 255 |
Starbucks | 9.99 | 32.06 | 221 | 12.4 | 75.9 | 512 |
Salesforce.com | 32.73 | 137.61 | 320 | 7.8 | 67.0 | 759 |
Starwood Hotels | 12.70 | 60.28 | 375 | 5.8 | 57.1 | 884 |
Caterpillar | 27.96 | 111.94 | 300 | 4.0 | 47.5 | 1088 |
Oracle | 18.07 | 34.97 | 94 | 61.9 | 97.5 | 58 |
Capital One | 12.24 | 54.61 | 346 | 6.0 | 40.6 | 577 |
Dow Chemical | 8.43 | 39.97 | 374 | 5.0 | 38.8 | 676 |
- a. Develop a
scatter diagram for these data with the percentage increase in the stock price as the independent variable. - b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
- c. Develop the least squares estimated regression equation.
- d. Provide an interpretation for the slope of the estimated regression equation.
- e. Do the rewards for the CEO appear to be based on performance increases as measured by the stock price?
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Chapter 14 Solutions
EBK STATISTICS FOR BUSINESS & ECONOMICS
- Let X be a continuous RV with PDF where a > 0 and 0 > 0 are parameters. verify that f-∞ /x (x)dx = 1. Find the CDF, Fx (7), of X.arrow_forward6. [20] Let X be a continuous RV with PDF 2(1), 1≤x≤2 fx(x) = 0, otherwisearrow_forwardA survey of 581 citizens found that 313 of them favor a new bill introduced by the city. We want to find a 95% confidence interval for the true proportion of the population who favor the bill. What is the lower limit of the interval? Enter the result as a decimal rounded to 3 decimal digits. Your Answer:arrow_forward
- A survey of 581 citizens found that 313 of them favor a new bill introduced by the city. We want to find a 95% confidence interval for the true proportion of the population who favor the bill. What is the lower limit of the interval? Enter the result as a decimal rounded to 3 decimal digits. Your Answer:arrow_forward2. The SMSA data consisting of 141 observations on 10 variables is fitted by the model below: 1 y = Bo+B1x4 + ẞ2x6 + ẞ3x8 + √1X4X8 + V2X6X8 + €. See Question 2, Tutorial 3 for the meaning of the variables in the above model. The following results are obtained: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.302e+03 4.320e+02 3.015 0.00307 x4 x6 x8 x4:x8 x6:x8 -1.442e+02 2.056e+01 -7.013 1.02e-10 6.340e-01 6.099e+00 0.104 0.91737 -9.455e-02 5.802e-02 -1.630 0.10550 2.882e-02 2.589e-03 11.132 1.673e-03 7.215e-04 2.319 F) x4 1 3486722 3486722 17.9286 4.214e-05 x6 1 14595537 x8 x4:x8 x6:x8 1 132.4836 < 2.2e-16 1045693 194478 5.3769 0.02191 1 1198603043 1198603043 6163.1900 < 2.2e-16 1 25765100 25765100 1045693 Residuals 135 26254490 Estimated variance matrix (Intercept) x4 x6 x8 x4:x8 x6:x8 (Intercept) x4 x6 x8 x4:x8 x6:x8 0.18875694 1.866030e+05 -5.931735e+03 -2.322825e+03 -16.25142055 0.57188953 -5.931735e+03 4.228816e+02 3.160915e+01 0.61621781 -0.03608028 -0.00445013 -2.322825e+03…arrow_forwardIn some applications the distribution of a discrete RV, X resembles the Poisson distribution except that 0 is not a possible value of X. Consider such a RV with PMF where 1 > 0 is a parameter, and c is a constant. (a) Find the expression of c in terms of 1. (b) Find E(X). (Hint: You can use the fact that, if Y ~ Poisson(1), the E(Y) = 1.)arrow_forward
- Suppose that X ~Bin(n,p). Show that E[(1 - p)] = (1-p²)".arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forward
- This exercise is based on the following data on four bodybuilding supplements. (Figures shown correspond to a single serving.) Creatine(grams) L-Glutamine(grams) BCAAs(grams) Cost($) Xtend(SciVation) 0 2.5 7 1.00 Gainz(MP Hardcore) 2 3 6 1.10 Strongevity(Bill Phillips) 2.5 1 0 1.20 Muscle Physique(EAS) 2 2 0 1.00 Your personal trainer suggests that you supplement with at least 10 grams of creatine, 39 grams of L-glutamine, and 90 grams of BCAAs each week. You are thinking of combining Xtend and Gainz to provide you with the required nutrients. How many servings of each should you combine to obtain a week's supply that meets your trainer's specifications at the least cost? (If an answer does not exist, enter DNE.) servings of xtend servings of gainzarrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forward
- Algebra: Structure And Method, Book 1AlgebraISBN:9780395977224Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. ColePublisher:McDougal Littell
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