Linear Regression in R, Step by Step

[@statquest]

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[@dibeazicha-dj5hb]

Hello, can you do a series of double hurdle regression (craggs vs tobit) , using r? Much appreciation for your video s sir!

[@Peter-ns6jg]

Thanks so much. This is my new favorite channel.

[@statquest]

Hooray! BAM! :)

[@xXFlutschiBFHXx]

I love StatQuest. Thank u for you'r brilliant way of teaching!

[@statquest]

You're very welcome!

[@2thuggg]

You, sir, are a god send. Literally helping me understand stats conceptually.

[@statquest]

bam! :)

[@alexwa9959]

very good explanation for explaining the necessary things clear

[@statquest]

Glad you liked it!

[@koogee4488]

Thank you so much. I needed this video badly!!

[@statquest]

bam!

[@chairlovawitabat]

Looove this. Thx so much. Needs more stargazer 😎

[@statquest]

Thanks!

[@konata_fan]

Genial, muchísimas gracias.

[@statquest]

De nada! :)

[@mohammadnafeesiqbal7300]

Perfectly explained, thanks sir ❤

[@tabarakalmosawi6659]

Thank you very very much. this was super helpful

[@statquest]

Glad it helped!

[@tatianataty7034]

Amazing, thank you!

[@statquest]

Thanks!

[@rutu.dances.to.express]

If we have multiple X features, does the p-value in last line (line corresponding to F-statistics) refer to multiple testing p-value for all X features' coefficient?

[@statquest]

The F-statistics test the model as a whole, so it is only one test. And that means it doesn't factor in multiple testing.

[@rutu.dances.to.express]

@@statquest Gotcha! Thank you:) Your videos are really helpful thank you so much!!

[@sharmi5715]

i love statQuest

[@statquest]

Hooray! :)

[@markobe08]

Statquest is the best

[@statquest]

Thanks! :)

[@bruhmomento6691]

Damn, this was fun!

[@statquest]

Thanks!

[@DuyNguyen-so9of]

For the Std. Error of the Coefficients, its significant level would be 5% right? If not, how can I know it?

[@statquest]

The standard cutoff is 0.05, or 5%.

[@halkerable]

Thank you Josh - these videos are so helpful. Is there a statistical test for this question: "is the slope coefficient of a linear regression model equal to 1?" The context is for a quantitative test, comparing it to a series of analytes of known quantity. I'd like to know if the test has a bias, e.g. it over-quantitates higher concentrations (or under-quantitates lower concentration samples) Thanks again

[@statquest]

I don't believe that there is one, but you can plot the residuals and see if you see a bias there (the residuals should be normally distributed - and you can test that with something called a K-S Test).

[@shamilmowlana8849]

Nice video. What do you think about checking the model by verifying the assumptions for residuals. I.e, normality, independence, zero mean and constant variance

[@statquest]

You can definitely do that if you want.

[@Nothingimportant1]

Nice, thanks. Next one, try to carry out a test with examples and interpret its result. Grazie tanta.

[@statquest]

Noted!

[@chiaraamitrano5370]

I love StatQUest. Can you please explain how to show the equation or at least the R2 on the plot? pleaseeee

[@statquest]

If you want to add text to a plot, you can use the text() function. stat.ethz.ch/R-manual/R-devel/library/graphics/html/text.html

[@chiaraamitrano5370]

@@statquest thank you!!

[@AVATARML2004]

THANK YOU!!!

[@statquest]

You're welcome!

[@jonwelsh4354]

Thank you!

[@statquest]

You're welcome!

[@zerohero5631]

Hello doctor thanks you🎓🎓🎓👍👍👍💖💖💖

[@statquest]

Thanks!

[@Sami-or7gm]

Thank you so much

[@statquest]

:)

[@sevent1116]

Nice video, but when I enter the last line of code it doesn't show me a line? It doesn't show me an error either

[@statquest]

Did you type it in yourself or did you download my code? I just reran my code and it worked fine.

[@pofgaia2939]

thank you but itd be better if you had a better microphone

[@statquest]

Thanks! These days I have a much better microphone.

[@ryanperkins1525]

quality.

[@statquest]

Thanks!

[@neilpb3712]

First one

[@statquest]

BAM! :)

[@Bappi7807-q6f]

I hateee😂

[@statquest]

noted

[@hannukoistinen5329]

You are a way off mister. You start with a normal probability testing. I suggest some statistical classes.

[@statquest]

You can skip that step, if, later on, you look at the residuals, which we do.

[@trolltoll440]

i dislike statquest

[@statquest]

noted