How can you detect multicollinearity in multiple linear regression?
- By checking the correlation among predictors
- By checking the normality of residuals
- By looking at the scatter plot of residuals
- By using the F-test
Multicollinearity can be detected by examining the correlations among the predictors. High correlation among the predictors indicates the presence of multicollinearity. More formal methods such as the Variance Inflation Factor (VIF) can also be used.
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