One application of seasonal indexes is to remove the seasonal variation in a time series.The process is called deseasonalizing,and the result is called a seasonally adjusted time series.

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Katheryn Saldana · Accepted Answer

Final Answer : True, Explanation :  This statement is true. Seasonal indexes are used to identify and measure the seasonal patterns within a time series. Deseasonalizing involves using these seasonal indexes to adjust the data and remove the seasonality component, resulting in a seasonally adjusted time series that can be analyzed for underlying trends and patterns.

One application of seasonal indexes is to remove the seasonal variation in a time series.The process is called deseasonalizing,and the result is called a seasonally adjusted time series.

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