Averaging the first six data values is a way of initializing the forecasts in an exponential smoothing process.
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Q20: Seasonality is usually ignored because there is
Q21: Moving averages are most useful for irregular
Q22: Increasing the smoothing constant α increases the
Q23: The smoothing constant α indicates the weight
Q24: Over long periods of time, multiplicative time-series
Q26: The shape of the fitted exponential model
Q27: Occam's Razor says always to choose the
Q28: Moving averages are often used for making
Q29: The exponential model would be attractive for
Q30: A higher value of the smoothing constant
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