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Question 1

Shown below are rental and leasing revenue figures for office 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 ToolPak 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 6,543

2007 5,952

2008 5,732

2009 5,423

2010 4,589

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 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).

Answer the following questions:

a. What is the regression formula based on the results from your regression?

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?

Job

satisfaction

Relationship

with

supervisor

Opportunities

for

advancement

Overall

quality of

work

environment

Total

hours

worked

per

week

55 27 42 50 52

20 35 28 60 60

85 40 7 45 42

65 35 48 65 53

45 29 32 40 58

70 42 41 50 48

35 22 18 75 55

60 34 32 40 50

95 40 48 45 40

65 33 11 60 38

85 38 33 55 47

10 5 21 50 62

75 37 42 45 43

80 37 46 40 42

50 31 48 60 46

90 42 30 55 38

75 36 39 70 43

45 20 22 40 42

65 32 12 55 53

Question 3

Investment analysts generally believe the interest rate on bonds is related to the

prime interest rate for loans.

a. 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 Trendline, and select options to show these

metrics).

b. Do you think the bond rate can be predicted by the prime interest rate? Justify your

answer using the relevant metrics.

Prime interest

rate

Bond

rate

5.0% 28.0%

12.0% 48.0%

9.0% 32.0%

1.5%

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