eco 301 final project

Regression Analysis – Perform a regression analysis on the data. A. Compute for the following: 1. Standard errors 2. T-stats 3. R2 4. Coefficients, 5% and 1% levels 5. Possible other models to test  

III. Computer Output and Evaluation of Results – What are the results of your regression analysis?  Include the data you used to estimate the demand model, the results of your analysis, an analysis of the results, and a description of remaining issues that need to be addressed, i.e. other models to test.  Be sure to include standard errors, t-stats, R2, coefficients, 5% and 1% levels. 

 IV. Statistical Analysis of Results – What are the implications of the t-stats, F test and Adjusted R2?  Are they consistent or contradictory?  If they seem to be contradictory, how can this be resolved?  

V. Conclusion and General Comments – What are key take-a-ways that can be applied in your own personal or professional real-world settings?  Provide concrete or hypothetical examples (if you are not in an applicable field) that support your conclusions.  How might this model change in the future given assumptions?