Explain why or how you chose the X variables that you included in the regression.

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Problem Section (20 points)
Topic selection is VERY important! What problem are you trying to answer? Why is it important? Develop the problem with some background. You may want to answer the following questions in this section in order to develop the problem. Why would you want to know about you Y? Why do you want to know about your X’s vs. Y? In other words, why is this impact of X on Y useful information? What important problem does it solve to know thus information? Of what use will the results be? Explain why or how you chose the X variables that you included in the regression. Explain why you think they may be important explanatory variables in the regression.
Describe the sample (20 points)
Mention how you got the sample (if you did a survey, be sure to include this in the appendix) and describe the variables included in the model. Provide some summary statistics.
State the regression equation (10 points)
Interpret the results of the ANOVA F Statistic (Useful Regression?)
Interpret the adjusted R squared
Results (80 points)
Interpret the results of each beta. Write 2-3 sentences about each variable. One sentence explain what you expected, another sentence stating the results that you found (the formal interpretation), and then a third explaining WHY you think you got this result. Also, provide information on any min/max if they apply. This should be written in paragraph form.
Is the result counter intuitive – tell the audience about what you think here
Don’t forget that insignificant coefficients give you a lot of information, too. The fact that a variable does not explain variation is useful!
Notice I did not say to test the Betas, that was done implicitly with the stars ( and these tests with their results are put in the appendix.)
Summary / Conclusions (40 points)
Implications must be included. If you wrote a good problem statement this follows directly from the problem statement. Implications state therefore we should…Use the information contained in the regression. Why is it useful and to whom?
Shortcomings of the analysis (20 points)
Look at your =sample and say why it may not be representative of your target population. Also, include any other factors you might have left out which could affect adversely the regression results. If you were unable to correct some of the regression assumptions, mention that here.

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