In this lesson, you'll examine the components of demand: averages, linear trend, seasonality, and cyclical, irregular, and random factors. The lesson will cover many qualitative forecasting techniques, including the Delphi method, panel consensus, and historical analogy. You'll learn about quantitative forecasting by working on problems involving time series (simple and weighted moving average and exponential smoothing) and associative methods (linear regression and multiple regression analysis). You'll start to get a sense of which forecasting methods to use for which situations.