The term 'vif > 10' refers to the variance inflation factor exceeding the threshold of 10, which is commonly used as a rule of thumb to indicate high multicollinearity among predictors in a regression analysis. This high VIF value suggests that one or more predictors are highly correlated, making it difficult to determine their individual effects on the dependent variable. Addressing high VIF values is crucial for improving model reliability and interpretability.
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