Time series forecasting models make predictions about the future based on analysis of past data.
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Q1: In the simple exponential smoothing forecasting model,
Q2: Exponential smoothing forecasts always lag behind the
Q4: Simple exponential smoothing lags changes in demand.
Q5: Exponential smoothing is always the best and
Q6: Cyclical influences on demand are often expressed
Q7: Cyclical influences on demand may come from
Q8: The value of the smoothing constant alpha
Q9: Bayesian analysis is the simplest way to
Q10: Experience and trial and error are the
Q11: In the weighted moving average forecasting model,
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