seasonally adjusted

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“Time series data is sometimes adjusted by removing seasonal patterns to make it easier to identify trends— particularly with monthly data. For example, sales for November and December might always be higher than September and October, but does that increase represent a trend or the normal seasonal pattern? Government economic data is often seasonally adjusted and it is important to be careful when using government data for time series analysis. Most analyses work better with raw or unadjusted data so the tools can determine the seasonal effect.”

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By |February 1st, 2019|Comments Off on seasonally adjusted