What differentiates Time Series Analysis from Causal Methods in quantitative modeling?
Answer
Time series looks only at past demand data to identify patterns, while causal methods link demand to external variables.
Time Series Analysis looks only at past demand data to identify patterns like trend, seasonality, and cyclicality, whereas Causal Methods attempt to link demand to specific independent external variables, such as price or GDP, typically using regression analysis.
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