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.

Question

Quizplus · Accepted Answer

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