1 million subscribers and John still takes the time to respond to every comment on his videos. Thank you for your help with understanding my assignments!
@@statquest thank you Josh, it’s related to multiple regression and the partialling out of regression coefficients - I’ve just never found a good intuitive explanation in video or text.
If p_multiple > 3, do we generate several F values comparing to simple regressions for each other variable? eg. multiple regression for body length vs. mouse weight, tail length, wheel time would we have to compare: - simple model of body length vs mouse weight and multiple model of body length vs mouse weight, tail length, wheel time - simple model of body length vs tail length and multiple model of body length vs mouse weight, tail length, wheel time - simple model of body length vs wheel time and multiple model of body length vs mouse weight, tail length, wheel time thanks for another excellent video
@@statquest is this describing a process of stepwise regression? Where we test the variables to see, if they have an impact and in the end keep those that did have an impact i.e., significant pa value?
is there any video for the degree of freedom please? i searched a lot of it but still don’t quite understand why each parameter in regression will “steal” a degree
Dummy variables are what we use to replace discrete values in design matrices. For details on design matrices, see: ruclips.net/video/NF5_btOaCig/видео.html and ruclips.net/video/CqLGvwi-5Pc/видео.html
Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/
1 million subscribers and John still takes the time to respond to every comment on his videos. Thank you for your help with understanding my assignments!
Thank you!
Universities should just play your course videos in classes instead of making failed attempts in teaching
:)
True😂😂😂😂
@@user-lc9ho9xi3m exactly lol
I'm doing a class presentation on this in graduate school so thank you so much for the help! 😭
Good luck!!
We need a StatQuest of the FWL theorem! 🙏🏻
Noted
@@statquest thank you Josh, it’s related to multiple regression and the partialling out of regression coefficients - I’ve just never found a good intuitive explanation in video or text.
That intro😂😂
:)
Please make a statquest on multivariate linear regression
Umm... this video is about multivariate linear regression. So is there something else you were getting at?
@@statquest Sorry I thought multiple and multivariate are different.
lol
If p_multiple > 3, do we generate several F values comparing to simple regressions for each other variable?
eg. multiple regression for body length vs. mouse weight, tail length, wheel time
would we have to compare:
- simple model of body length vs mouse weight and multiple model of body length vs mouse weight, tail length, wheel time
- simple model of body length vs tail length and multiple model of body length vs mouse weight, tail length, wheel time
- simple model of body length vs wheel time and multiple model of body length vs mouse weight, tail length, wheel time
thanks for another excellent video
Yes. You don't have to do every permutation, but it is pretty common to calculate p-values for "all vs all-minus-one" for each variable in the model.
@@statquest is this describing a process of stepwise regression? Where we test the variables to see, if they have an impact and in the end keep those that did have an impact i.e., significant pa value?
@@klaudiakornalska1819 I think that stepwise regression is related, but has a more formal approach to testing each variable.
真的太感谢了🥲❤️❤️❤️❤️讲的好好
BAM! :)
thank you for this also, BAM!
Double bam! :)
This is gold
Thanks!
The intro song!😂
:)
Hi Josh, Do you have any video about multicollinearity and Variance inflation factor?
Not yet.
Bro you should have a video only about F-statistic on regressions, you did good explaining but a bit out of the topic.. thank you very much anyway
I'm not sure I understand your comment. I have a videos on just the F-statistic and regression: ruclips.net/p/PLblh5JKOoLUIzaEkCLIUxQFjPIlapw8nU
Thanks a lot for the video!
Bam1 :)
please make a video on linear regression assumption.
I'll keep that in mind.
is there any video for the degree of freedom please? i searched a lot of it but still don’t quite understand why each parameter in regression will “steal” a degree
Unfortunately I haven't made that video yet.
Well explained
Thank you!
BAM !! ez pz lemon squecy
:)
What is a dummy variable, sir?
Dummy variables are what we use to replace discrete values in design matrices. For details on design matrices, see: ruclips.net/video/NF5_btOaCig/видео.html and ruclips.net/video/CqLGvwi-5Pc/видео.html
what would be the n value there in multivariate - 3?
It's the number of data points.
Josh if i was ____________________________________________REDACTED_______________________________________
thanks josh.
Who else is singing “stat quest”
I hope a lot of people! :)
Me. Already in my sleep hahah
@@juliasokolovska9016 this may be the least rockstar area of RUclips.
@@thedownwarddoug6642 looks like that
I felt like I was watching cartoon network lite, not fun when your learning
Noted