Additive model (for time-series data)

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A common approach to modelling time-series data (Y) in which it is assumed that the four components of a time series; 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