Historical Demand For A Product Is Demand January February March April May June
Historical demand for a product is DEMAND January February March April May June 12 11 15 12 16 15 Using a weighted moving average with weights of 0.60, 0.30, and 0.10, ï¬ nd the July forecast. Using a simple three-month moving average, ï¬ nd the July forecast. Using single exponential smoothing with ô°ô°ƒ 0.2 and a June forecast ô°ƒ 13, ï¬ nd the July forecast. Make whatever assumptions you wish. Using simple linear regression analysis, calculate the regression equation for the preced- ing demand data. Using the regression equation in d , calculate the forecast for July.
