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Unit 4 [GB513: In question 1, you will use the charting features. In questions 2 and 3, use the regression tool from the analysis toolpack. Make sure...

I need some help with Linear regression and regression formulas and graphs.
Unit 4 [GB513 : Business Analytics ] Assignment This assignment requires you to use Excel. In question 1, you will use the charting features. In questions 2 and 3, use the regression tool from the analysis toolpack. There is no template for this assignment. Make sure you explain your answers and provide the regression output tables for questions 1 and 2. Question 1 Shown below are rental and leasing revenue figures for office machinery and equipment in the United States over a seven-year period according to the U.S. Census Bureau. Use these data to run a linear regression and then forecast the rental and leasing revenue for the year 2012 . 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 Question 2 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 supervisor 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 rep resents an excellent work environment), and opportunities for advancement is rated on a scale from 0 to 50 (0 represents no opportunities and 50 represents excellent opportunities). Answer the following questions: A) What is the regression formula?
Unit 4 [GB513 : Business Analytics ] B) How reliable do you think the estimates will be based 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 satisfaction Relationship with supervisor Overall quality of work environment Total hours worked per week Opportunities 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 75 18 60 34 75 40 32 95 50 84 45 48 65 33 68 60 11 85 40 72 55 33 10 5 10 50 21 75 37 64 45 42 80 42 82 40 46 50 31 46 60 48 90 47 95 55 30 75 36 82 70 39 45 20 42 40 22 65 32 73 55 12
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