[All Steps] Consider the following sample data Executive Title Company Age Salary Charles Prince Chmn/CEO Citigroup 56 1,000 Harold McGraw III Chmn/Pres/CEO
Question: Consider the following sample data
| Executive | Title | Company | Age | Salary |
| Charles Prince | Chmn/CEO | Citigroup | 56 | 1,000 |
| Harold McGraw III | Chmn/Pres/CEO | McGraw-Hill Cos. | 57 | 1,172 |
| James Dimon | Pres/CEO | JP Morgan Chase & Co. | 50 | 1,000 |
| K. Rupert Murdoch | Chmn/CEO | News Corp. | 75 | 4,509 |
| Kenneth D. Lewis | Chmn/Pres/CEO | Bank of America | 58 | 1,500 |
| Kenneth I. Chenault | Chmn/CEO | American Express Co. | 54 | 1,092 |
| Louis C. Camilleri | Chmn/CEO | Altria Group | 51 | 1,663 |
| Mark V. Hurd | Chmn/Pres/CEO | Hewlett-Packard Co. | 49 | 817 |
| Martin S. Sorrell | CEO | WPP Group | 61 | 1,562 |
| Robert L. Nardelli | Chmn/Pres/CEO | Home Depot | 57 | 2,164 |
| Samuel J. Palmisano | Chmn/Pres/CEO | IBM Corp. | 54 | 1,680 |
| David C. Novak | Chmn/Pres/CEO | Yum Brands | 53 | 1,173 |
| Henry R. Silverman | Chmn/CEO | Cendant Corp. | 65 | 3,300 |
| Robert C. Wright | Chmn/CEO | NBC Universal | 62 | 2,500 |
| Sumner Redstone | Exec Chmn/Founder | Viacom | 82 | 5,807 |
- Develop a scatter diagram for these data with the age of the executive as the independent variable
- Develop the regression equation
- Testing the significant of the relationship using level of significant of 0.05
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Solution: The downloadable solution consists of 4 pages
Deliverable: Word Document 