Phase I1 Prior to launch, the company also contracted the services of a third party to track subscription sales during the first 12 months. The data consist of weekly sales and the monthly subscription prices across the 4 major census regions in the US. The data are posted on Canvas in the file Demand.csv. Phase II Tasks 1) 2) 3) Using the demand data in Demand.csv, estimate a log-log demand curve for the existing subscription service. Use whichever software you see fit (e.g. R, Excel etc). Specifically, regress log quantity on log price. Write the mathematical equation for this model. In a well-labeled table, report your regression estimates. Also be sure to report standard errors and t-statistics for each parameter as well as an R- square for the regression. Interpret your parameter estimates. What concerns (1if any) do you have with this regression? If you had to recommend a price, what would it be and why? What concerns (if any) would you have with this recommendation? Rerun the above regression while accounting for the possibility of having different base demand for each season. Write the mathematical equation for this model. In a well-labeled table, report your regression estimates. Also be sure to report standard errors and t-statistics for each parameter as well as an R-square for the regression. What concerns (1f any) do you have with this regression? If you had to recommend a price, what would 1t be and why? What concerns (1f any) would you have with this recommendation? Would your conclusions in (2) change 1if you also included controls for \"region mn your regression? Explain why (or why not)