Your final project will be a short paper featuring a simple regression on a topic of your
Question:
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 |
Systems analysis and design
ISBN: 978-0136089162
8th Edition
Authors: kenneth e. kendall, julie e. kendall