Question: The biggest difference between decomposition/time series seasonality adjustment method and causal relationship forecasting is that the former uses independent variables (factors) other than time to

The biggest difference between decomposition/time series seasonality adjustment method and causal relationship forecasting is that the former uses independent variables (factors) other than time to predict future demand

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