1. Explain how a simple moving average is calculated. 2. List and define the three principal ways of measuring forecast accuracy. What are the key differences among them? 3. Explain how the exponential smoothing model can be interpreted in two different ways. 4. Which methods work well on a stationary time series? 5. What kind of forecasting models are most appropriate when significant autocorrelation is present in the data?