Spurious correlation refers to a situation where two variables appear to be related to each other but are actually both influenced by a third variable or simply correlated by chance. This can lead to misleading conclusions about the relationship between the variables, especially in correlation analysis where the goal is to identify genuine relationships. Understanding spurious correlations is crucial for interpreting data accurately and avoiding false assumptions.
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