Additive models are most appropriate over longer periods of time or when the data magnitude is growing rapidly over time.

Name: Additive models are most appropriate over longer periods of time or when the data magnitude is growing rapidly over time.
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Quizplus · Accepted Answer

Additive models are best when the seasonal variations are roughly constant over time, whereas multiplicative models are more appropriate when the seasonal variations increase or decrease proportionally with the level of the data.

Additive Models Are Most Appropriate Over Longer Periods of Time