Multicollinearity


Notes and Ideas:

Definition

  • The problem where the X matrix is unstable
  • The Variance of are huge
  • Do not efffect prediction
  • It would effect the model itself How to Deal with it:
    • Using of centered data for predictor varaibles when using polynomial regression and other regressions with interactions
    • Dropping one or more predictores
    • Add some cases that may break the pattern of multicollinearity
    • Use different data sets to estimate different

vs outercorrelation


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