Final Project

Project will be a short paper featuring a simple regression on a topic of choice

The purpose of the project is to enable the 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. For example: Is there a relationship between higher abortion rates and the crime rate going down?Does the number of hotdogs sold in Fenway Park explain Josh Beckett's ERA from 2001 to 2011?

Prior to beginning your project e-mail your idea to your Mentor for approval.

Find the data you need online - utilize the library and any additional online services to find good data.

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 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 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 APA format.Remember to reference all work cited or quoted by the text authors.