Seasonal indices are numerical values that quantify the seasonal variations in a time series, allowing for the adjustment of data to account for these fluctuations. They provide a way to compare seasonal patterns over different time periods, making it easier to understand how certain factors influence trends. By applying seasonal indices, analysts can enhance their forecasting models and make more informed predictions based on historical data.
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