How To... Create a Multiple Linear Regression Model in R

Learn how to do a create a Multiple Linear Regression Model with ‪@EugeneOLoughlin‬.
The R script (101_How_To_Code.R) for this video is available to download from Github at:
github.com/eoloughlin/How-To-...

[@monicajohnson3741]

Very clear and concise! Thank you

[@Caleidus]

Thank you, Eugene...

thank you Eugene 👍

[@azizmouhanna8996]

wonderful man!! thanks a lot

[@AzizurRahman-hv3ck]

Good work

[@bindubala9560]

Thanks man! You vedios help me in completing my assisgnmnets and clearly understand the concepts❤

[@hafzanaabdulhukh3841]

Such a saviour🙂

[@leereedembroidery]

Thank you!

[@moron9180]

thanks, sir

[@luisramirezuchile]

Great video. I have a question. My understanding is that the "proper" way to detect multicollinearity in a regression model is by calculating a metric known as the variance inflation factor ( VIF). Is it equivalent to use your approach?

[@jjmark4107]

you save my ass

[@user-uj9zk3zu7o]

What do I do if I do have multicollinearity between my variables

[@EugeneOLoughlin]

Hi Freddie, If you have multicollinearity between two variables you should remove one of them and re-calculate regression without it. Dr E.