You are developing a linear regression model and notice that despite a high R-squared value, none of your independent variables are statistically significant. What might be the potential issue here?

  • Data leakage
  • High variance
  • Multicollinearity
  • Underfitting
This could be due to multicollinearity. Multicollinearity inflates the variances of the parameter estimates, which might lead to none of them being statistically significant. Despite this, the overall model might still be significant, leading to a high R-squared value.
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