Multiple regression - making sure that your assumptions are met
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- Опубликовано: 2 май 2024
- Doing diagnostics on your model assumptions in R programming is easy. This video is about linear regression, specifically multiple regression and making sure that the assumptions of your model are met.
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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().
Introduction to Periodic chemistry
Helpful! Thank you
Glad it was helpful!
Nice content.... performance package can also achieve the same with ease.
Thanks a lot Greg. I love your videos and reels. Can you exlpain bit about Logistic regression?
Sure thing! - Will make some videos about that soon
As usual: Very nice vid. Thanks A LOT.
So nice of you
Thank you, very helpful!
Glad it was helpful!
Thank you for all this, But I can't see the PDF or any document to download, even after subscribing
First!