How do I check for multicollinearity in linear regression?
An example of an AI chatbot conversation about checking multicollinearity in linear regression.
How do I check for multicollinearity in linear regression?
You can check for multicollinearity using Variance Inflation Factor (VIF) or correlation matrices.
What is the Variance Inflation Factor?
VIF quantifies how much the variance of a regression coefficient is increased due to multicollinearity.
How do I calculate VIF?
To calculate VIF, run a regression for each predictor variable and use the formula: VIF = 1 / (1 - R²).
What VIF value indicates multicollinearity?
A VIF value greater than 10 is often considered indicative of significant multicollinearity.
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