One of the ways to remove seasonal effects from time series data is to consider quarterly moving averages.

Name: One of the ways to remove seasonal effects from time series data is to consider quarterly moving averages.
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Quarterly moving averages involve calculating the average of the data points over a period of three months, allowing for the smoothing of the data and the removal of seasonal effects.

One of the Ways to Remove Seasonal Effects from Time