Your final project will be a short paper featuring a simple regression on a topic of your choosing.

Using data from my company, we have the number of phone calls, per week, over the last year. Then correlate this data to the average number of hours worked, per week, and determine if there is a relationship between the two.

Run a regression analysis. If you are using an analysis tool other than Excel, put your data into Excel and "Save As..." a comma-separated values (.csv) spreadsheet. Load the data and complete the analysis.

Your project should include:

An introduction that explains the question you want to answer. Why should anybody care about your topic? (your topic should have already been approved by your mentor)

A short summary of the book chapters related to what you're doing. What is new about what you're doing?

Why is least squares regression a good method to answer your question?

Describe where your data comes from (Sources). Give some descriptive statistics for both variables.

Graph of the data with regression line.

Interpret the intercept, slope, coefficient of determination of the regression line. Is there a significant relationship?

Predict the response variable for one unit outside of the range of your data.

Write a conclusion - be sure that your conclusion is backed up by your data/analysis.

Your responses must be complete, using terminology and concepts presented in the primary textbook as well as supplementary resources. Write in complete sentences and use good grammar double-spacing, 12-point font, with one-inch margins. Be sure to cite your resources and provide the references using A P A format. Remember to reference all work cited or quoted by the text authors.

	Phone Calls Taken	Average Hours Worked
Week 1	271	38.40
Week 2	311	37.00
Week 3	308	39.90
Week 4	290	38.70
Week 5	240	37.90
Week 6	268	38.00
Week 7	278	38.20
Week 8	270	38.89
Week 9	299	39.20
Week 10	301	39.10
Week 11	311	39.85
Week 12	276	38.76
Week 13	275	38.75
Week 14	385	37.40
Week 15	290	38.60
Week 16	285	38.50
Week 17	271	37.90
Week 18	294	39.00
Week 19	280	38.70
Week 20	293	38.40
Week 21	281	38.87
Week 22	285	38.70
Week 23	275	38.69
Week 24	264	37.76
Week 25	270	37.89
Week 26	272	38.00
Week 27	284	37.90
Week 28	290	37.60
Week 29	274	37.80
Week 30	280	38.20
Week 31	264	38.00
Week 32	278	38.30
Week 33	282	38.00
Week 34	291	38.10
Week 35	293	38.01
Week 36	294	37.90
Week 37	286	38.40
Week 38	269	38.30
Week 39	281	38.20
Week 40	284	38.10
Week 41	307	39.00
Week 42	287	38.80
Week 43	280	38.70
Week 44	286	38.75
Week 45	298	37.90
Week 46	280	39.00
Week 47	294	38.70
Week 48	295	38.76
Week 49	290	36.72
Week 50	278	37.30
Week 51	287	38.20
Week 52	284	38.40