The forecasting method that is appropriate when the time series has no significant trend, cyclical, or seasonal effect is
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The forecasting method that is appropriate when the time series has no significant trend, cyclical, or seasonal effect is averages.
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The forecasting method that is appropriate when the time series has no significant trend, cyclical, or seasonal effect is moving averages.
- A statistical technique for predicting long-term trends is the moving average.
- The method illustrates moving the range while averaging a set of numbers in a specific range.
- Short-term variations and long-term trends are masked by the moving average approach when applied to time-series data.
- Moving average is used in both financial applications and scientific & engineering applications.
- When there is a minor seasonality or trend but steady demand, the moving average is used to forecast the availability of goods or commodities.
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