A spurious correlation occurs when two variables appear to be related to each other, but their relationship is actually influenced by a third variable or is purely coincidental. This concept highlights the importance of distinguishing between correlation and causation, as just because two things seem connected does not mean that one causes the other. Understanding spurious correlations helps researchers avoid misleading conclusions when interpreting data.
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