The ratio-to-moving-average is a statistical method used to analyze and adjust time series data to account for seasonal variations. This technique involves comparing the actual data points to a moving average of those points, which helps to smooth out short-term fluctuations and reveal underlying trends and seasonal patterns. By expressing the actual values as ratios of the moving averages, this method aids in identifying the strength of seasonal effects on the data over time.
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