All statistical techniques used to generate forecasts require accurate data and rely on the assumption that the future will repeat the past. The key to good forecasting is to minimize forecast error by utilizing a forecasting technique that best fits the nature of the data. Three common forecasting techniques are: Simple moving average Weighted moving average Exponential smoothing Is one of these methods better than the others? If you were running a business, which method would you choose and why? Discuss these questions as the basis of your posting for this week