Interpreting Linear Model Output in R | R Tutorial (2020)

In the previous tutorial we went over creating linear and logistic regression models in R. In this tutorial we will interpreting the output.
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[AndrewMoMoney]

I love catching up on my Ricky On D content!

[golfman]

I've been a practicing data scientist for a decade, and this is one of the best explanations of linear regression I've seen. Succinct, intelligible, and accurate. Thank you for putting this together.

[picassoofai]

I need to add that this content is the best I've seen on Youtube, even better that some paid courses.

[picassoofai]

I'm wondering how this content don't get to much views. Great chanel you should push it more.

[pieroregaldi]

Great. Your explanation on the p-value for linear models is the clearest i found. Thank you!

[Phoenixspin]

I wish I were as smart as this guy. I took a statistics class once in college. I passed it. Got a good grade but it didn't become a part of me. I wish I understood it and in fact all other subjects so I could just blow people away with my demonstrated intelligence. But in the end, I'll just settle for listening to smart people like this guy. At least I can celebrate the fact that I am intellectually curious enough to click on this video instead of watching yet another cat video.

[fernandourrutia]

Great channel bro, thanks for the content, congrats !!

[galan]

Also it is worth to mention that in order to make a simpler model (not neccesarily better, but dropping confounders its interesting) we could rop one by one the non p-value significant variables in a stepwise way, and that all our coefficients would change because they are done taking into account the rest of variables :D.

[fullsurr]

Well structured and clear, thank you!

[kyleboy]

Hey Richard, do you have any experience with the caret package in R? Would love to see a video on that

[Michaelmaggimee]

Richardondata another great video. Liked.

[mrJbirdjojo]

What do you think of the Apache Arrow? Would you consider doing a video on it?

[optimizacioneningenieria]

I think was a good idea start to use markdown. Thanks Richard. Maybe you might then consider use notebooks too. :)