Reference no: EM131005688

Question 1:

Shown below are rental and leasing revenue ?gures for of?ce machinery and equipment in the United States over a 7-year period according to the U.S. Census Bureau. Use this data and the regression tool in the data analysis toolpack to run a linear regression.

Based on the formula you get from the regression output, answer the following questions:

a) What is the forecast for the rental and leasing revenue for the year 2011?

b) How confident are you in this forecast? Explain your answer by citing the relevant metrics.

Year	Rental and Leasing ($ millions)
2004	5,860
2005	6,632
2006	7,125
2007	7,214
2008	6,875
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 satis?ed). Suppose the following data represent the results of this survey. Assume that relationship with their supervisor is rated on a scale from 0 to 50 (0 represents a 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 environment); and opportunities for advancement is rated on a scale from 0 to 100 (0 represents no opportunities and 100 represents excellent opportunities).

Job satisfaction	Relationship with supervisor	Opportunities for advancement	Overall quality of work environment	Total hours worked per week
55	27	42	50	65
20	12	28	60	40
85	40	7	45	60
65	35	48	65	53
45	29	32	40	43
70	42	41	50	62
35	22	18	75	55
60	34	32	40	75
95	50	48	45	45
65	33	11	60	38
85	40	33	55	47
10	5	21	50	10
75	37	42	45	64
80	42	46	40	52
50	31	48	60	46
90	47	30	55	61
75	36	39	70	58
45	20	22	40	42
65	32	12	55	53

Answer the following questions:

A) What is the regression formula?

B) How reliable do you think the estimates will be based on this formula? Explain your answer by citing the relevant metrics.

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, rates her opportunities for advancement to be at 30, finds the quality of the work environment to be at 75, and works 60 hours per week, what would you expect her job satisfaction score to be?

Question 3:

Investment analysts generally believe the interest rate on bonds is inversely related to the prime interest rate for loans; that is, bonds perform well when lending rates are down and perform poorly when interest rates are up.

Use the following data to construct a scatter graph and then fit a regression line to the data. Report the regression formula and the r-squared values from the chart (right click on the data points, select Add Trend line, and select options to show these metrics).

Do you think the bond rate can be predicted by the prime interest rate? Justify your answer using the relevant metrics.

Bond Rate	Prime Interest Rate
5%	16%
12	6
9	8
15	4
7	7