R Tutorial: Linear regression in R (part 3) checking assumptions

This video shows you how to test a range of linear regression assumptions in R, plotting residuals in multiple ways, as well as testing for influential cases and multicolinearity.
Code and data can be found here
drive.google.com/drive/folder...

[@akontia6]

Sums it all up really nicely!

[@DrPC_statistics_guides]

Thanks!

[@brandonwarfield5611]

Thanks for explaining the four plots. Also, thanks for the extra code (ols_plot)etc...

[@hoosier-daddy465]

EXCELLENT video!

[@KatelynSparks]

Thankyou!

[@natalianunez1817]

Hi! I was wondering if you could explain how to fix the linearity assumption violation, as the graph doesn't show a linear behavior?

[@DrPC_statistics_guides]

you cannot fix it per se, you can transform the dependent variable and see if you then meet the assumption (although then regression coefficients are changes in the transformed DV not try DV) or you could fit non-linear effects (eg splines) where appropriate

[@eonryan8491]

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