Crash Course in Forecasting Quiz Questions

The mean and variance of the series are constant over time. The series has a constant trend over time. The auto-covariance function of the series is dependent on time. The series has a periodic pattern over time. A moving average uses past errors, while an autoregressive model uses past values of the dependent variable. A moving average uses only one past value, while an autoregressive model uses multiple past values.