Business

Shown below are rental and leasing revenue figures for office machinery and equipment in the US over a seven year period according to the US Census Bureau. Use these data to run a linear regression and then forecast the rental and leasing revenue for the year 2012. Excel needed

Year Rental and Leasing ($ millions )

2004 5,860

2005 6,632

2006 7,125

2007 6,000

2008 4,380

2009 3,326

2010 2,642

Suppose a researcher gathered survey data from 19 employees and asked the employees to rate their job satisfaction on a scale from 0 to 100 (with 100 being perfectly satisfied). Suppose the following data represent the results of this survey. Assume that relationship with supervisior is rated on a scale from 0 to 50 ( 0 represents poor relationship and 50 represents an excellent relationship), overall quality of the work environment is rated on a scale from 0 to 100 (0 represents poor work environment and 100 represents an excellent work envionment), and opportunities for advancement is rated on a scale from 0 to 50 (0 represents no opportunities and 50 represents excellent opportunities). Excel needed

Answer the following questions :

a- what is the regression formula?

b- how reliable do you think the estimates will be used on this formula? How can you tell?

c- Are there any variables that do not appear to be good predictors of job satisfaction? How can you tell?

d- If a new employee reports that her relationship with her supervisor is 40, finds the quality of the work environment to be scored at 75, works 60 hours per week and rates her opportunities for advancement to be at 30, what would you expect her job satisfaction score to be?

Job Status: Relationship w/ supervisor: quality of work environment: Hours Worked: Opp for advancement:

55 27 65 50 42

20 12 13 60 28

85 40 79 45 7

65 35 53 65 48

45 29 43 40 32

70 42 62 50 41

35 22 18...