1. Use the tsibble created from tourism for holiday travel in Victoria and Queensland. Plot the series to remind yourself what these look like.

2. Use the ETS() function to fit models with additive and multiplicative errors to both series. Also let ETS() auto select models. Explore the fitted models and their residuals.

3. Generate forecasts from the fitted models. Why is the multiplicative model needed for Victoria?

4. Generate the h02 series from the PBS tsibble using the code below. Plot the data and study it’s features. What ETS model would be appropriate for forecasting this data?

   h02 <- PBS |>
   filter(ATC2 == "H02") |>
   summarise(Cost = sum(Cost))

5. Find an ETS model and study it.

6. Generate forecasts for the next few years.

7. Combine STL decomposition with ETS to forecast the h02 series.

8. Exam 2024 - Review this

   • Section A: Q1, Q2
   • Section B: Q3d, Q3e, Q3f
   • Section C: all questions