This week we'll cover models for seasonal data and continue to study non-seasonal models too.
After successfully completing this lesson, you should be able to:
- Difference for trend and seasonality
- Identify and interpret a seasonal ARIMA model
- Distinguish seasonal ARIMA terms from simultaneously exploring an ACF and PACF
- Create and interpret diagnostic plots