# Choose anyone topic and follow the instructions which are

• choose anyone topic and follow the instructions which are given below:
• a) where y is the average test score on a ninth grade proficiency test by county, x1 is the average amount spent on technology per student in the county, x2 is the average teacher salary in the county, and x3 is the percentage of students in the county who are obese. The student was interested in whether or not obesity played a role in a student’s ability to achieve academically.

• b) where y is the percentage of people at the poverty level by state, x1 is the average amount spent on education per student in the state, x2 is the state unemployment rate, and x3 is the amount of federal educational funding. The student was interested in whether or not the federal educational funding was a significant factor in reducing the percentage of poverty in a given state.

• c) where y is the amount of a tip left for a waiter at a restaurant, x1 is the amount of the restaurant bill, x2 is number of people dining, x3 is time of the restaurant meal. The student was a waiter and was interested in which factors influenced the tip he received.

• d) where y is the number of times a student checked Face Book a day, D1 is a gender dummy, x2 is number of friends with a Face Book account, x3 is the number of programs and organizations the student was a member of, and D2 is a dummy for student athlete. The student was interested in the factors that drive student interest in Face Book.

• e) where y is movie box office sales, x1 is the movie budget, x2 is highest paid actor or actress, x3 is the number of movie theaters the movie was shown, D1 is a dummy variable that takes the value of 1 if the movie is an action movie, D2 is a dummy variable that takes the value of 1 if the movie is a comedy, and D3 is a dummy variable that takes the value of 1 if the movie is a drama. The student was interested in which factors drove box office revenues.

• , where y is a country’s tourism receipts, x1 is the per capita GDP, x2 is percentage of paved roads in the country, x3 is average number of sunny days a year, and D1 is a dummy for whether or not the country has a cruise ship port . The student was interested in what factors affected a country’s tourism.

• f) where y the number of violent crimes committed a year by city, x1 is the percentage of people with a bachelor’s degree by city, x2 is unemployment rate by city, and x3 is average income by city, and x4 is per capita drug use. The student was interested in the effect of drug usage on violent crimes.

• g) where y is a pro-baseball player’s salary, x1 is batting average, x2 is number of errors, x3 is number of homeruns, and x4 is number of stolen bases. The student was interested in what baseball statistics drove salary.
• • Why is it important in the ‘big picture’? Sell your topic…why should the reader care?

• What is your research question/hypothesis?

1. Data / Descriptive Statistics: (don’t count the actual statistics/numbers)

• What is your regression equation? (ex. -- what are the variables?)

• How does this model test your question/hypothesis?

• Provide the descriptive statistics in a table (sample size, sample mean, sample variance)

• Create a correlation matrix of your variables (make a table) and discuss the relationships

1. Analysis Results: (don’t count the actual statistics/numbers)

• What are your regression results? (Provide a nice table)

• Do the results support your hypothesis? Discuss.

• You need to DISCUSS the signs and significance of your coefficients. What do they mean? How does this relate to your hypotheses?

• What about multicollinearity, autocorrelation, and heteroscedasticity? Are any of these present in your regression results? (Provide a plot of the residuals.) If so, did you correct for any of these problems? Explain.

• Present your results clearly and “neatly”. Do not provide tons of output that does not pertain to your discussion. Make the presentation as clear as possible.

1. Conclusion:

• Briefly summarize your analysis. In a nut-shell, what are your results and what do these results mean on a larger scale?
• Tie your results back into the “big picture”.