Introductory Business Forecasting

Business forecasting: beyond the crystal ball. A review of some basic concepts in statistics. Correlation and the linear regression model. The multiple regression model. An introduction to time series and their components. Exponential smoothing algorithms. ARIMA models: the Box-Jenkins approach to forecasting. Econometric forecasting models and leading indicators. Regression models exponential smoothing algorithms and ARIMA models: relationships and extensions. Some other quantitative forecasting methods. Judgemental methods and technological forecasting. The combination of forecasts. The evaluation of forecasts. An overview of business forecasting methods.