+Multicollinearity arises when two or more [Predictor Variables](/wiki/predictor_variables) in a [Regression Model](/wiki/regression_model) are strongly linearly related. This can obscure the true individual impact of each predictor, leading to unstable coefficient estimates and making interpretation difficult.
+## See also
+- [Correlation](/wiki/correlation)
+- [Linear Regression](/wiki/linear_regression)
+- [Variance Inflation Factor](/wiki/variance_inflation_factor)
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