Spurious regression refers to a statistical phenomenon where two or more non-stationary time series variables appear to have a significant relationship with each other, even though that relationship is misleading and not indicative of any true connection. This often occurs when the underlying trends of the variables are similar or driven by common factors, leading to high correlation without any meaningful causality. Understanding this concept is crucial for analyzing time series data, especially when dealing with non-stationary series.
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