The Evolving Storyline: Time Series Forecasting
Students frequently conflate stationary and non-stationary processes. Specifically, applying ARIMA models without confirming stationarity via the Augmented Dickey-Fuller test leads to spurious regressions, where high correlation exists solely due to the shared stochastic trend rather than a causal temporal relationship.
Institutional Reference: Applied Statistics
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