Students are expected to conduct basic regression price analysis. First, must select an agricultural commodity (which in this case will be eggs) and obtain historical price data on that commodity to conduct basic price analysis. Length: 4-5 (1.5 spaced) pages including plots and tables, site the sources used. This type of analysis is covered in Chapter 6. It involves using Excel tools to perform a basic price regression analysis. This analysis can be conducted using price data of any frequency (i.e., monthly, weekly, daily, etc.). However, the dataset must have a minimum of 200 observations. This subsection should include: i) the criteria used for model selection, ii) the estimated model, including variable definitions, ii) table of results, iv) results discussion, including interpretation of coefficients, and v) forecast results and discussion. The dependent, "Y" variable should be the inflation adjusted price series for your commodity.