Save Demand for oil changes at Garcia's Garage has been as follows: Number of Oil Changes Month January February 34 50 March 60 Apri 45 May 53 June 56 58 July August 54 a. 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 X = 2; and so on. The forecasting model is given by the equation Y 41.82 + 2.10 X. (Enter your responses rounded to two decimal places.) b. Use the model to forecast demand for September, October, and November. Here, X=9. 10. and 11, respectively. (Enter your responses rounded to two decimal places.) Month Forecast for the number of Oil Changes September October November + 9