Additive time series model

Use an additive model when the seasonal effect is expressed as a roughly constant number of units across the relevant level of the series. Forecast by adding the stated seasonal adjustment to the trend; negative adjustments reduce it. Check the model and question assumptions rather than switching automatically between additive and multiplicative methods.