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.

1. Demand for oil changes at Garcia's Garage has been as follows: Month January February March April May June July August Number of Oil Changes 48 50 51 48 63 49 64 72 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, X = 2; and so on. tX = 1; for February, let The forecasting model is given by the equation Y = 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