Time series methods base forecasts only on past values of the variables.
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Q1: Any recurring sequence of points above and
Q3: Quantitative forecasting methods can be used when
Q7: The exponential smoothing forecast for any period
Q13: In situations where you need to compare
Q13: An alpha (α) value of .2 will
Q17: The mean squared error is influenced much
Q20: If the random variability in a time
Q23: If data for a time series analysis
Q31: In situations where you need to compare
Q36: Seasonal patterns
A)cannot be predicted.
B)are regular repeated patterns.
C)are
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