How is Multicollinearity typically detected in a dataset?

  • By calculating the Variance Inflation Factor (VIF).
  • By performing a simple linear regression.
  • By performing a t-test.
  • By visually inspecting the data.
Multicollinearity is typically detected by calculating the Variance Inflation Factor (VIF). A high VIF indicates a high degree of multicollinearity between the independent variables.
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