7.1 Multicollinearity Intro

GS
by Gabriel Smithline3 views·Updated May 11, 2021
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  1. now we're going to address the issue of multi culinary
  2. that was ever so present in all of our models.
  3. So really what is multi culinary?
  4. Well, in this, in our models, multi Kalinin parity is
  5. one. One or more of our predictors are actually correlated
  6. with each other.
  7. And so why is this really an issue here?
  8. Well, multi colonia garrity might not affect the performance of
  9. the model.
  10. It makes it very hard to interpret our coefficients and
  11. it really reduces the power of our model to identify
  12. independent variables that are statistically significant.
  13. And you know, we saw that in real time with
  14. all our models, we had a lot of statistically insignificant
  15. variables. So multi we expect a multi Kalinin charity really
  16. in this data set and it's really no surprise that
  17. we saw it with such a complicated issue like eviction
  18. reads. And really this multi Kalinin charity is indicative of
  19. greater issues which are going to discuss further.
  20. Uh huh