I just gave up on another video, called “Multilinearity explained simply.” The second he started talking , i knew it wasn’t going to be simple. Then he talked more and I was done. Found this. The second YOU started talking , i knew it was going to be simple. And by the 21 second mark i had already caught on. Thanks for this. Just goes to show, titles mean nothing. This was explained well.
Man, this is absolute gold. I've been binge watching your videos for a few hours now and you've taught me more than my professor ever could in a whole semester! Thank you SO much.
This guy is awesome! His explanation is not only so clear and easy to understand, but it as well creates an opportunity for the student to think ahead before he gets to the point. Wonderful!
You are phenomenal. I have studied statistics for many years and you are making me aware of things I never thought about. Thanks so much. Can you do a video on covariance???? Please
This video is one of my favorite videos because the way of the explanation is gold. I like the way you use the graphic to explain the intuition, how to detect multicollinearity probs, and its remedies. This video is great overall.
did ANYONE ELSE notice the It's Always Sunny in Philadelphia reference at 16:21 ? Am I the first to appreciate the effort put into making our statistics lecture culturally relevant? Mr. Zedstatistics, well done.
I'm in a class and not understanding the way they are trying to teach me these concept. I really appreciate you work and the way you explain things. Not sure why I'm taking a $2,000 class when I can learn more for the price of a "like" on your videos.
I never thought I'd stumble upon a statistics video with not only a Sufjan Stevens vinyl in the background but also with It's Always Sunny references, immediately subscribed.
These are bar none the Best resources on statistics. You gave me something that NO other source has been able to.. An INTUITION! Thank you for making such an impact to a stanger's life
This is one of my favourite channel which I easily can understand it. Multicollinearity is when X variables are correlated with each others, also I can know to detect it. Thank you for the awesome video.
Hi, im doing econometrics in my 3rd year of college, thank you for helping me. I have an end sem exam this Thursday and this video is helping me a lot! Wish me luck!
This video is interresting because it explain more about multicollinearity where it occurs when the X variables are related to themselves. It show that it gives an effect to 1 variables and hold the other variables constant and ways to handle when the problems occurs using remedies
this video explanation is very easy to understand especially the use of graphics to make it more interesting. it shows clearly the solution if there are issue and the detection of VIF and correlation
Thank you for going into the small details that are usually not explained well in schools. I appreciate your efforts. And I really enjoy your accent - charming. ;)
I have watched a few of your videos. You and your videos are brilliant. It is rare to see complex concepts made easy in such a credible, easy, and authentic way. I am surprised, why the views of videos are not in millions. May be ... you are creating quality stuff - talking concepts !! Others are talking tools e.g. SPSS, AMOS, PLS etc! Concepts are the core, but most viewers seek an easy, quick fix. Hence video-watching. Imagine you are packaging concepts and tools together somehow (without discounting the awesome quality of content your create). I think your content will be killer! Nevertheless, keep doing great things. You rock!
Multicollinearity occur when the X variables are related, or two independent variables are collinear when they are correlated with each other. It can bring many effect such as variance(standard errors) are inflated. But, there are several solutions for the problem. Thank you so much for the beautiful video and your great explanation.
This video is very useful for those that is not understand about multicollinearity like me. So, after watching this video, I clearly know the remedies in multicollinearity, the VIF and so on . thanks sir for this useful video. i really understand with your explanation.
This video helps me to understand the topic that is so complicated to me at first until I found this video. The explanation is simple yet easy to understand. Salam dari Malaysia.
This video will be my favorite list for me to study about multicollinearity. It is occur when there are gwo variable are related. When it get high value, there is a problem and in this video it provide an explanation about the solution to fixed the problem.
I really like how the video explain by using a good graphic to make sure the student and the other people understand what is multicollinearity. There has an explain the intuition, how to detect multicollinearity probs, and its remedies. I like it.
Just awesome. getting going now. bivariates are very data set to deal with. a good understanding of root analysis from the first principle is important.
THE best! You’re teaching style is simply enlightening! You so effortlessly command audiences’ attention from the very start till the end and leave them with a full picture in their minds in one go! Thank you!
This was great. I've been teaching myself linear algebra over the past 6 months and it's cools to see a real world example of ill-conditioned matrices and, in the final example, of a coefficient matrix who's columns don't form a basis. The real world context really helps cement those more abstract concepts.
Lol your law firm is Always Sunny in Philadelphia. Presumably specializing in bird law. not a crossover i was expecting. Awesome man I love your videos
From the video, I have learn what is intuition, how to detect problem in multicollinearity and also suggest method to solve the issues. Thank you sharing this video. It is very helpful.
This video is very helpful to me to get more understanding about Multicollinearity . The clear explanation with the graphic make me more understand in this topic.
Thank you for explaining about the multicollinearity step by step from intuition to perfect multicollinearity. I dont understand about this topic before this but right after im done watching this, I can understand it.
You are the best bro, hope you will make many more content of statistics, trust me bro what you thought me in 30 minutes my teacher couldn't thought me in last 6 month.
This a great video for multicollinearity . Absolutely, you explained well from the intuition until the part which is perfectly multicollinearity. Too many examples in this video make me slowly understand the model and how to manage if there is a problem. Thank you for sharing !
Totally YES for this awesome explanation 😍 He is explaining every single subtopic regarding multicollinearity and now I understand and get more clear about this multicollinearity 👍🏻
From this video, it shows us a very details regarding multicollinearity. It makes me understand what is intuition, whats the m/c problem and how to solve this problem. There are also using a good example in explaining this concepts.
great video thanks. the clearest and most accessible explanation of multicolinearity I've seen. I wasn't aware of VIF but came from a more intuitive idea that correlated predictors were problematic, and conducted PCA to remedy this. The context in this case was a predictive NN, and I didn't find that PCA provided anything useful. I've used it a couple of other times as well, with little success. Anyway, thank you for providing such a clear, well-presented explanation. All the best!
Multicollinearity occurs when the X variables are related to each other. Find the VIF using the 1/1-R^2 k from each regression. They are four options for remedies, do nothing, remove one of the correlated variables, combine the correlated variables or use partial least squares or principal component.
This video really help me to understand about multicollinearity. This video explain step by step which make it easy for me to undertand it. There are two detection which is correlation and vif. Thank you for the great explanation
It great to watch this video as I really understand about multicollinearity and about solution are used when multicollinearity happen. thank you for this video.
Thanks to this video, your great explanation about Intuition, detection method, remedies, Justin's Simulation and Perfect multicollinearity make me more understand and clear about multicollinearity. Its really help me to get a solution if there any issue with my data.
It is nice explaination . It use the map so we can see all of the topic in the multicoillinearity . It also tell us all about it and it is very easy to absorb . It is because the explain is slow and smooth .
Well structured explanation. Your video makes me understand clearly now on detection of multicollinearity and the solution if there's any issue based on the option given. Thank you for this video!!
Thank you Justin for this awesome video! You've really nailed the explanation and covered all the edges. It's really helped clear alot of doubts and now thanks to you I truly understand the concepts. Please keep up the good work!
lol on the remedies part, it made me laugh when you said you have never done partial least squares because I feel like thats been a big thing we have been learning. great video like always, thanks for the study help
In this video, i learn about : 1. What is multicollinearity 2. Two detection of multicollinearity i) correlactions ii) VIF's 3.Remedies of multicollinearity 4. Perfect Multicollinearity and also the effect of multicollinearity, test for multicollinearity and the observation of multicollinearity.
![[TF2] The Russian Bear Trap](http://i.ytimg.com/vi/YFNSwz2_rOA/mqdefault.jpg)
You should change your channel's name to UNDERRATED man! The best content provider in this field!
Thanks VB!
True this channel is one of the best for statistics
You put a tremendous deal of passion and creativity into this. Yielding unmatched value for anyone curious about statistics. Thanks a million Justin.
Perfectly put!
I just gave up on another video, called “Multilinearity explained simply.” The second he started talking , i knew it wasn’t going to be simple. Then he talked more and I was done. Found this. The second YOU started talking , i knew it was going to be simple. And by the 21 second mark i had already caught on. Thanks for this. Just goes to show, titles mean nothing. This was explained well.
Hahaha I did the same thing 4years later :)
Man, this is absolute gold. I've been binge watching your videos for a few hours now and you've taught me more than my professor ever could in a whole semester! Thank you SO much.
You're very welcome! Binge away! Glad people appreciate the vids.
Exactly! My professor confused the hell out of me :( Wish Justin could have taught us instead!
I like the way the guy introduced the concept; he makes you understand the concept even before he delves into the details. Great and awesome tutor!
Perfect, the best on RUclips! Thanks a lot!
This guy is awesome! His explanation is not only so clear and easy to understand, but it as well creates an opportunity for the student to think ahead before he gets to the point. Wonderful!
I don't attend my stats lectures no more, I just watch Zed video and pass my tests . Thanks for the uid bro!!
You are phenomenal. I have studied statistics for many years and you are making me aware of things I never thought about. Thanks so much. Can you do a video on covariance???? Please
Sure! And it is done - ruclips.net/video/mG__Wpp9dns/видео.html
Thanks for the suggestion!
Statistician AND a Sufjan Stevens listener AND you linked to a StatQuest video. Ily
I’ve watched a lot of your YT videos. This is by far the best. Your gift of teaching and passion for stats shines in this one. Many thanks from Texas.
This video is one of my favorite videos because the way of the explanation is gold. I like the way you use the graphic to explain the intuition, how to detect multicollinearity probs, and its remedies. This video is great overall.
did ANYONE ELSE notice the It's Always Sunny in Philadelphia reference at 16:21 ? Am I the first to appreciate the effort put into making our statistics lecture culturally relevant? Mr. Zedstatistics, well done.
I'm in a class and not understanding the way they are trying to teach me these concept. I really appreciate you work and the way you explain things. Not sure why I'm taking a $2,000 class when I can learn more for the price of a "like" on your videos.
The way how you explained multicollinearity is awesome. Thank you for clearing my doubts.
I never thought I'd stumble upon a statistics video with not only a Sufjan Stevens vinyl in the background but also with It's Always Sunny references, immediately subscribed.
You're the best statistics teacher on youtube thankyou so much ❤️
These are bar none the Best resources on statistics. You gave me something that NO other source has been able to.. An INTUITION! Thank you for making such an impact to a stanger's life
The Best video that has explained the concept in clear manner. No need to cram the concept.
Best explanation of multicollinearity I've come across
This is one of my favourite channel which I easily can understand it. Multicollinearity is when X variables are correlated with each others, also I can know to detect it. Thank you for the awesome video.
OMG so easy to understand. I'm learning more from RUclips channels like this than from the 40k CAD master's degree I'm paying for :(
I accidentally fall on the your channel and simply loved it
It's amazing the best thing is like you connect dots in your videos really loved the way u teach
now I become more understand about multicollinearity because of this video.Thanks for explained more details and concept about it.
The way he explained in devided the point, its make me clear and easy to make a notes.
Hi, im doing econometrics in my 3rd year of college, thank you for helping me. I have an end sem exam this Thursday and this video is helping me a lot! Wish me luck!
This video is interresting because it explain more about multicollinearity where it occurs when the X variables are related to themselves. It show that it gives an effect to 1 variables and hold the other variables constant and ways to handle when the problems occurs using remedies
Man you prepared me for a killer interview, thanks
this video explanation is very easy to understand especially the use of graphics to make it more interesting. it shows clearly the solution if there are issue and the detection of VIF and correlation
Thank you for going into the small details that are usually not explained well in schools. I appreciate your efforts. And I really enjoy your accent - charming. ;)
I have watched a few of your videos. You and your videos are brilliant. It is rare to see complex concepts made easy in such a credible, easy, and authentic way.
I am surprised, why the views of videos are not in millions. May be ... you are creating quality stuff - talking concepts !! Others are talking tools e.g. SPSS, AMOS, PLS etc! Concepts are the core, but most viewers seek an easy, quick fix. Hence video-watching. Imagine you are packaging concepts and tools together somehow (without discounting the awesome quality of content your create). I think your content will be killer! Nevertheless, keep doing great things. You rock!
That was as tangible as the sense of touch. Thank you!
Multicollinearity occur when the X variables are related, or two independent variables are collinear when they are correlated with each other. It can bring many effect such as variance(standard errors) are inflated. But, there are several solutions for the problem. Thank you so much for the beautiful video and your great explanation.
This video is very useful for those that is not understand about multicollinearity like me. So, after watching this video, I clearly know the remedies in multicollinearity, the VIF and so on . thanks sir for this useful video. i really understand with your explanation.
This video helps me to understand the topic that is so complicated to me at first until I found this video. The explanation is simple yet easy to understand. Salam dari Malaysia.
I understand more about multicollinearity because in this video, he explained more details and concept about it. Thank you for sharing!
you are too good bro.... wish that every university to have a professor like you ..
This video will be my favorite list for me to study about multicollinearity. It is occur when there are gwo variable are related. When it get high value, there is a problem and in this video it provide an explanation about the solution to fixed the problem.
Thanks for providing such clarity in so simple words. Love frm 🇮🇳
Thank you for make it simple and used the straight forward language so i can understands it clearly about multicollinearity .
I really like how the video explain by using a good graphic to make sure the student and the other people understand what is multicollinearity. There has an explain the intuition, how to detect multicollinearity probs, and its remedies. I like it.
Just awesome. getting going now. bivariates are very data set to deal with. a good understanding of root analysis from the first principle is important.
THE best! You’re teaching style is simply enlightening! You so effortlessly command audiences’ attention from the very start till the end and leave them with a full picture in their minds in one go! Thank you!
This was the best video on the subject, especially your simulation, really makes it land!
Thank you!
This was great. I've been teaching myself linear algebra over the past 6 months and it's cools to see a real world example of ill-conditioned matrices and, in the final example, of a coefficient matrix who's columns don't form a basis. The real world context really helps cement those more abstract concepts.
Lol your law firm is Always Sunny in Philadelphia. Presumably specializing in bird law. not a crossover i was expecting. Awesome man I love your videos
From the video, I have learn what is intuition, how to detect problem in multicollinearity and also suggest method to solve the issues. Thank you sharing this video. It is very helpful.
This video is very helpful to me to get more understanding about Multicollinearity . The clear explanation with the graphic make me more understand in this topic.
Thank you for explaining about the multicollinearity step by step from intuition to perfect multicollinearity. I dont understand about this topic before this but right after im done watching this, I can understand it.
could statistics be anymore interesting? So grateful to you for this video
You are the best bro, hope you will make many more content of statistics, trust me bro what you thought me in 30 minutes my teacher couldn't thought me in last 6 month.
This a great video for multicollinearity . Absolutely, you explained well from the intuition until the part which is perfectly multicollinearity. Too many examples in this video make me slowly understand the model and how to manage if there is a problem. Thank you for sharing !
The way he explained,is clearly.. thank you so much
I like your explanation..you explain multicollinearity with concept and example that easy to understand. Thank you for sharing.
Totally YES for this awesome explanation 😍 He is explaining every single subtopic regarding multicollinearity and now I understand and get more clear about this multicollinearity 👍🏻
From this video, it shows us a very details regarding multicollinearity. It makes me understand what is intuition,
whats the m/c problem and how to solve this problem. There are also using a good example in explaining this concepts.
Such an incredible explanation, man
This video help me a lot to understand multicolinear better.. Thanks for the explanation!
great explanation!
Only watch the example at the beginning, I knew multicollinearty is!!! Thank you
Thanks Justin, always a pleasure and transformative to watch your stats videos.
great video thanks. the clearest and most accessible explanation of multicolinearity I've seen. I wasn't aware of VIF but came from a more intuitive idea that correlated predictors were problematic, and conducted PCA to remedy this. The context in this case was a predictive NN, and I didn't find that PCA provided anything useful. I've used it a couple of other times as well, with little success. Anyway, thank you for providing such a clear, well-presented explanation. All the best!
I've seen a lot of videos in my time, and I can tell you - this is a pretty damn good one
bruh i wish youre my uni lecturer... before I was sooo clueless and now everything makes sooooo much sense
He is the best. What a teacher. Love from Pakistan.
Multicollinearity occurs when the X variables are related to each other. Find the VIF using the 1/1-R^2 k from each regression. They are four options for remedies, do nothing, remove one of the correlated variables, combine the correlated variables or use partial least squares or principal component.
Thank you, thank you, thank you!!! I was going nuts about this with all the bad explanations in other videos. Very simple and understandable!
This video really help me to understand about multicollinearity. This video explain step by step which make it easy for me to undertand it. There are two detection which is correlation and vif. Thank you for the great explanation
You look a lot like Anthony Bridgerton. ANYWAY, thank you so much for this beautiful video on Multicollinearity!
bruh is living his life with Kate Sharma 🐱😂
Just discovered this channel !!! Am having fun
You are seriously the best at explaining this stuff!
this video gives me joy
From this video I more understand about multicollinearity. It occurs when x variable are related each other. Thank you for this great video.
It great to watch this video as I really understand about multicollinearity and about solution are used when multicollinearity happen. thank you for this video.
Probably the best stats video ever made! Thank you!
This video really make me understand the multicollinearity. Really usefull. Thank you
Always love watching your video because it is very clear and understandable ! You explain each point one by one .
underrated channel...
Thanks to this video, your great explanation about Intuition, detection method, remedies, Justin's Simulation and Perfect multicollinearity make me more understand and clear about multicollinearity. Its really help me to get a solution if there any issue with my data.
Wow, your videos are better than my graduate school statistics department was at teaching applied statistics. Keep at it Zed!
It is nice explaination . It use the map so we can see all of the topic in the multicoillinearity . It also tell us all about it and it is very easy to absorb . It is because the explain is slow and smooth .
Well structured explanation. Your video makes me understand clearly now on detection of multicollinearity and the solution if there's any issue based on the option given. Thank you for this video!!
Awesome video. Clear as well as easy to understand.
Such a realistic explanation of the topic. You are superb!
Now aq understand about multicollinearity. Thank you
It really a good explanation about multicollinearity. Thanks a lot sir for a easy examples.
Thank you Justin for this awesome video! You've really nailed the explanation and covered all the edges. It's really helped clear alot of doubts and now thanks to you I truly understand the concepts. Please keep up the good work!
Even Gail The Snail got a mention! After all the saltings she has been through, that is quite heart-warming
I really appreciate the intuitive explanation! Very valuable! Thanks a lot!
i like how he giving section with concept and explain how multicollinearity works
lol on the remedies part, it made me laugh when you said you have never done partial least squares because I feel like thats been a big thing we have been learning. great video like always, thanks for the study help
Explained in very easy way......Thanks A lot
What a good and detail explaination about multicollunearity, this video really help me in understand this subject. thank you
Your explanation is unique and it is really helpful for me to understand more about Multicollinearity. Thank you for your sharing :)
Great video, really clear stuff, plus bonus points for the It's Always Sunny reference!
Your videos are incredible ! Some of the best explanations and insights I’ve seen .. thank you
Very clear explanation. Thanks Justin!
In this video, i learn about :
1. What is multicollinearity
2. Two detection of multicollinearity
i) correlactions
ii) VIF's
3.Remedies of multicollinearity
4. Perfect Multicollinearity
and also the effect of multicollinearity, test for multicollinearity and the observation of multicollinearity.
Youearned my subjusta few minutes into the video. Great job and much thanks.
Excellent teaching skills, really nice presentation, Thanks man