describe time series plots by identifying features such as trend (long term direction), seasonality (systematic, calendar-related movements), and irregular fluctuations (unsystematic, short term fluctuations), and recognise when there are outliers; for example, one-off unanticipated events
ACMGM089
smooth time series data by using a simple moving average, including the use of spreadsheets to implement this process
ACMGM090
calculate seasonal indices by using the average percentage method
ACMGM091
deseasonalise a time series by using a seasonal index, including the use of spreadsheets to implement this process
ACMGM092
fit a least-squares line to model long-term trends in time series data
