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# Obesity: An American Crisis EC315 (Project Proposal) Michael Higgs Fall 2 2012 TABLE OF CONTENTS Purpose Statement.Page 1 Definition of...

I have a research report where I have already done the research and I just need the data analyzed and results presented. Everything is based on a regression analysis and the following questions need to be addressed. Charts and tables must be in excel and written results in word. I have attached my report showing the variables that need to be analyzed.

Presentation and Interpretation of Results

6) Write the regression (prediction) equation:

Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3 * Ind_Var_3

7) Identify and interpret the adjusted R2 (one paragraph):

< What does the value of the adjusted R2 reveal about the model?

< If the adjusted R2 is low, how has the choice of independent variables created this result?

8) Identify and interpret the F test (one paragraph):

< Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?

< Interpret the implications of these findings for the model.

9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):

< Are the signs of the coefficients as expected? If not, why not?

< For each of the coefficients, interpret the numerical value.

< Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?

< Interpret the implications of these findings for the variable.

< Identify the variable with the greatest significance.

10) Analyze multicollinearity of the independent variables (one paragraph):

< Generate the correlation matrix.

< Define multicollinearity.

< Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.

Obesity: An American Crisis EC315 (Project Proposal) Michael Higgs Fall 2 2012 TABLE OF CONTENTS Purpose Statement…………………………………………………Page 1 Definition of Variables……………………………………………Page 1-3 Data Description…………………………………………………….Page 3-5 Works Cited……………………………………………………………Page 6
Purpose Statement This project will discuss the correlation between exercise and diet on the ever growing crisis of obesity in America. The dependent variable obesity is determined by independent variables; exercise (lack of) and diet. Americans are not getting adequate exercise to burn their caloric intake. This is not only a concern for adults, the CDC (center for disease control) reports that “most adolescents fall shorts of the recommended 60 minutes of aerobic physical activity each day, as only 18% of students in grades 9-12 met this recommendation in 2007.” Instead of exercising outdoors, children are turning to video games and television to occupy their time. Nicolas Stettler, MD performed a study that suggested that every hour children play video games or watch television may double their risk of obesity. With this being said I feel the most important independent variable in this relationship is exercise, or the lack of it. By teaching proper exercise and nutrition at a young age the likelihood of being obese as an adult diminishes. Definition of Variables The model used is: Y = X 1 + X 2 Where: Y = Obesity X 1 = Exercise (lack of) X 2 = Diet
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SUMMARY OUTPUT
Regression Statistics
Multiple R 0.766679
R Square 0.587797
Square
Standard Error
2.141045
Observations
51
ANOVA
df
Regression
Residual
Total SS
MS
F Significance...

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