II. Regression Are lysis - Perform a regression analysis on the data . A. Compute for the following: 1. Standard errors 2. T-stats 3. 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%6 levels. Statistical Analysis of Results - What are the implications of the t-stats, Ftest and Adjusted R2? Arethey consistent or contradictory? If they seem to be contra dictory, how can this be resolved? Conclusionand 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 supportyour conclusions. How might this model change in the future given assumptions