The multiplicative decomposition method should not be used to forecast for a time series with increasing seasonal variation.
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Q4: The Laspeyres index assumes that the base
Q7: Removing the seasonal affect by dividing the
Q7: A positive autocorrelation implies that negative error
Q8: The simple exponential forecasting method would not
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Q11: Simple exponential smoothing is an appropriate method
Q12: While a simple index is calculated by
Q16: A univariate time series model is used
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Q17: Dummy variable regression would be an appropriate
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