Your final project will be a short paper featuring a simple regression on a topic of your choosing.
The purpose of the project is to enable the CalSouthern Learner to apply the statistical concepts learned to different topics. Pick any topic you are interested in, which can be answered in the form of a simple least squares regression. It can be any topic.
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.