Multicollinearity can be detected using several methods:
Variance Inflation Factor (VIF): A VIF value greater than 10 indicates high multicollinearity. Correlation Matrix: High correlation coefficients (above 0.8 or 0.9) between variables indicate multicollinearity. Condition Index: Values above 30 suggest multicollinearity.
