Making decisions based on demand and forecasting

Domino’s Pizza is considering entering the marketplace in Columbus Ohio. Conduct a research about the demographics of Columbus Ohio including the population size, average income per household, and other independent variables (such as the price of pizza in Columbus Ohio and the price of soda in Columbus Ohio.  Conduct a demand analysis and forecast for pizza and decide whether Domino’s should establish a presence in Columbus Ohio. 
Report all demographic and independent variables that are relevant to complete the demand analysis providing a rationale for your selection of variables.
Using a calculation software, input the data you collected in criterion one to calculate an estimated regression. Then from the calculation provided interpret the coeficient of determination indicating how it will influence your decision to open a pizza busiiness.  EXPLAIN any additional variables that may improve the coefficent of determination (such as delivery of product, other pizza restuarants in the area).
Test the statistical significance of the variables and the regression equaion indicating how it will impact your decision to open a pizza business.
Forecast the demand for pizza in Columbus Ohio for the next four (4) months using the regression equaion, including the assumptions that were used to create the demand.  Justify the assumptions made related to the forecast.
Based on your forecasting demand, determine whether Domino’s should establish a restaurant in Columbus Ohio.  Provide a rationale and support for your decision.