A seasonal time series consists of a trend component, a seasonal component and an irregular component.
The remaining 60% is due to the irregular component.
Movements in statistical series may be affected by three influences: seasonality, trend, and an irregular component.
Movements in statistical series may be affected by three influences: seasonality, trend, and an irregular component.
Consequently, the seasonally adjusted series is the combination of the trend-cycle and the irregular component.
This irregular component is not part of the trend-cycle, nor is it related to current seasonal factors or calendar effects.
The floating average used is a floating average over 4 months (17 terms), preserving linear trends and minimising the variance in the irregular component.
The information is grouped by Time Period (appearing as row headers), Unadjusted data, Seasonally adjusted data, Trend cycle, Irregular component and Seasonal effects (appearing as column headers).
Requêtes fréquentes français :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
Requêtes fréquentes anglais :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
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