You can find material supporting this vid (and others) at github.com/equitable-equations/youtube.
@Nothingimportant1
Жыл бұрын
It was one of the best videos on youtube. That last interpretation is perfect.
@EquitableEquations
Жыл бұрын
Thank you!
@martinalcala5914
11 ай бұрын
Thank you very much for your videos. I've watched the ones regarding the multiple linear regressions and they've solved lots of doubts that I had!
@Nothingimportant1
Жыл бұрын
I have my stats exam tomorrow and plan to learn R fundamentally by watching your videos. You do a great job.
@valaiopwep7990
10 ай бұрын
Hey thanks for the vids they're a lifesaver, im taking econometrics this semester and as someone with not much experience in stats or programming this helps a lot
@neiltalbert7091
9 ай бұрын
Thanks for the info on Cook's D. It's probably useful when sample sizes are relatively small and outliers could be disproportionately influential.
@AlanCheun
7 ай бұрын
you make good videos, i'd just pad the ends of your video with a few seconds just to let us absorb the final statement and anything on the screen that just changed, youtube will prompt an ad or jump to another video before I can pause or see what just changed
@intesar_taieb
Жыл бұрын
I wish you can make statistics using R series , I found your explanation straightforward and easy to understand , thank you so much
@EquitableEquations
Жыл бұрын
Here's my intro stats playlist. It makes heavy use of R kzitem.info/door/PLKBUk9FL4nBalLCSWT6zQyw19EmIVInT6
@haraldurkarlsson1147
8 ай бұрын
I know there are multiple ways of writing the multiple regression line but I am still a bit confused. Since you are using the approximation sign then is the y not y hat? Also does not each x_i have its own error that is epsilon_i. Therefore, in your expression should the epsilon subscript not be k?
@calmseeker5501
Жыл бұрын
helpful videos of all!
@romanvasiura6705
Жыл бұрын
Thank you! I guess we should correct a little bit this code (rows 18-19) new_data
@EquitableEquations
Жыл бұрын
You’re right! It’s fixed on GitHub.
@Mahdi-Abd-Allah
Жыл бұрын
Thanks you so much for explaining
@saminrasi
2 жыл бұрын
Hi, I really like the points you mention in your lectures, very helpful! a couple of questions 1. looking at ggpairs graph you mentioned y values doesn't seem to be dependent on the value of x1 or x2 , how did you come to this conclusion? 2.have you also covered nonlinear regression in this channel? Thank you!
@EquitableEquations
2 жыл бұрын
HI! The main points of the ggpairs plots are (a) the relationships y~x1 and y~x2 are linear and (b) the *spread* of the y-values doesn't seem to depend on the x-values. In the latter case, I'm seeing that the y-values in each of the bottom two plots are roughly equally dispersed for each value of x.
@EquitableEquations
2 жыл бұрын
I'm building a series of vids on multiple regression right now. I expect to cover polynomial models in the next few weeks and generalized linear models after the new year.
@saminrasi
2 жыл бұрын
@@EquitableEquations 1.Thank you , now understood what you were talking about! 2. great! will subscribe :)
@mardzj
2 жыл бұрын
at 9:27 shouldn't the null hypothesis be that there is no MLR?
@EquitableEquations
2 жыл бұрын
Yes you're correct. I misspoke at that point.
@buffaloperformanceandanaly1431
Жыл бұрын
Would there be any difference in the code if there is a positive relationship between one variable and a negative relationship with the second variable? I'm looking at athlete exertion, sleep, and fatigue. Thanks!
@EquitableEquations
Жыл бұрын
Hi! There's no difference at all if one relationship is negative and the other positive.
@yaweli2968
2 жыл бұрын
Is there a site where you have all your loaded video lectures in R?
@EquitableEquations
2 жыл бұрын
Thanks for asking! You can see the whole collection here: kzitem.info/door/PLKBUk9FL4nBYpUKszG4edyAiM9aeTT1yv
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