For part (a) write down the full regression equation. (3pts) For part (b) do the 3 forecasts (for September, October, and November) and clearly label them. (3pts) XNm Month Jan Feb Mar April May June July Aug Number of oil changes 41 46 57 52 59 51 60 62 4 5 6 7 8 1. Demand for oil changes at Garcia's Garage has been as follows: Month Number of Oil Changes 41 January February 46 March 57 April 52 May 59 June 51 July 60 August 62 3. Use simple linear regression analysis to develop a forecasting model for monthly demand. In this application, the dependent variable, Y, is monthly demand and the independent variable, X, is the month. For January, let X = 1; for February, let b. Use the model to forecast demand for September, October, and November. Here, X = 9, 10, and 11, X = 2; and so on. respectively