Additive model (for time-series data)

A common approach to modelling time-series data (Y) is that it assumes that the four components of a time series—the trend component (T), seasonal component (S), cyclical component (C), and irregular component (I)—are added to form the values of the time series at each time period.

In an additive model, the time series is expressed as: Y = T + S + C + I.

Curriculum achievement objectives reference

Statistical investigation: Level 8

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