Qualitative forecasting techniques should be applied in situations where time series data exists, but where conditions are expected to change.
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Q1: Trend in a time series must be
Q2: Smoothing methods are more appropriate for a
Q5: With fewer periods in a moving average,it
Q5: Exponential smoothing with α = .2 and
Q7: If the random variability in a time
Q8: A time series model with a seasonal
Q9: A four-period moving average forecast for period
Q10: If a time series has a significant
Q15: Time series data can exhibit seasonal patterns
Q17: All quarterly time series contain seasonality.
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