High degrees of Multicollinearity can inflate the _________ of the estimated regression coefficients.

  • Bias
  • Distribution
  • Efficiency
  • Variance
High degrees of multicollinearity can inflate the variance of the estimated regression coefficients. This means that the coefficients become highly sensitive to minor changes in the model, which can make them unreliable and difficult to interpret.
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