Question: Objective forecasting methods are those in which the forecast is derived from an analysis of data. A time series method is one that uses data

Objective forecasting methods are those in which the forecast is derived from an analysis of data. A time series method is one that uses data from sources other than series being predicted; that is

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there may be other variables with values that are linked in some way to what is being forecasted. Causal models are ones that use only past values of the phenomenon we are predicting. Is it true or false?

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