Multiple regression - making sure that your assumptions are met 

Greg, Thanks. Great stuff. Now the question what to do if all but one of conditions for a linear model are met. That is the teaching moment.

Just a note to those using the native pipe. In lm() it will not work using data = . . There are several solution a) data = data b) pick(x_var), or c) switch to %>%. I like the pick(x_var) option. There is a fourth option just put the model name into predict().

Thanks a lot Greg. I love your videos and reels. Can you exlpain bit about Logistic regression?

Nice content.... performance package can also achieve the same with ease.

As usual: Very nice vid. Thanks A LOT.

Helpful! Thank you

Introduction to Periodic chemistry

Thank you, very helpful!

Thank you for all this, But I can't see the PDF or any document to download, even after subscribing

First!