The moving average is a statistical technique used to smooth out short-term fluctuations in a series of data in order to more easily recognize longer-term trends moving average model order cycles. The moving average is sometimes referred to as a rolling average or a running average.
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A moving average is a series of numbers, each of which represents the average of an interval of specified number of previous periods. The larger the interval, the more smoothing occurs. The smaller the interval, the more that the moving average resembles the actual data series. Smoothing the data, which means to improve the fit of the data to a line. Reducing the effect of temporary variation and random noise.
Highlighting outliers above or below the trend. The moving average is one of the most widely used statistical techniques in industry to identify data trends. For example, sales managers commonly view three-month moving averages of sales data. The article will compare a two-month, three-month, and six-month simple moving averages of the same sale data. The moving average is used quite often in technical analysis of financial data such as stock returns and in economics to locate trends in macroeconomic time series such as employment.
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