Absolutely...9 years later your created videos are still saving countless student lives . My binge watching has changed from Netflix to your regression series xD
I'm a first semester MBA student who's never had anything beyond college algebra, and this video made me feel so much better about my stats final next week! I learned more in 15 minutes with this video than I did in the last 3 weeks of class. Just being able to pause, rewind, and think about what you said for a minute helped me so much. I may actually do well on the final next week!
No body in the whole RU-vid would have the intuitive mind like you and the intuitive way of teaching. You just amaze me by your intuitive way of teaching everytime that i want to be a teacher like you. I want my student to love me as i love you because of your method and keeping away from formulas etc
As I just start to learn Statistics and Data Science, this lecture (I can't call this just 'video') is 10 times useful and helpful than real class to understand what Regression is. I've been watching whole 5 series over 5 times each and get close to clear understanding. I dare to ask lecturer to create more lectures to save many students who are still suffering from a confusion of concepts.
Justin I must say you are one of the those precious teachers who can explain complicated statistics concepts in a very intuitive and simplistic manner. Kudos to you!!!!!
this is by FAR THE BEST regression explanation i have seen ...i attaneded a 3 hour lecture and couldnt make a head and tail of the prof at ASU ...but voila u did the magic !
I got sick with COVID a bit over a year ago. It affected me neurologically in a pretty severe way where I was left unable to think, speak, read, or remember anything for at least 9 months. I am now much improved but still struggling to navigate this new world of diminished cognitive ability I find myself in. As I am finally, slowly re-entering my PhD program (in a social science) and having to re-learn all my statistics, I am constantly running into the limitations of these new cognitive disabilities. Nothing, and I truly mean nothing, has worked for me until I found these videos. I can't thank you enough for making them. It feels like I can finally hold on to these concepts for the first time in a long time. Thank you so much for making me feel like I can actually manage to re-learn statistics and finish my PhD. It is a gift.
It would be nice if the trainer also explains that many professors call what the trainer calls here as SSR as SSE and vice versa. In those cases, SSE is the Explained Sum of Squares and SSR is the Residual Sum of Squares.
Hi, there's a pop up comment that explains this at 8:51. I understand that it might not be visible on mobiles, so apologies. In Australia we use SSR = Sum of Squares due to Regression. SSE = Sum of squares due to Error.
What I got from this video is enlightenment. When searching for SSE and SSR on youtube I was either gonna click on a pretty lady's thumbnail or this handsome man's thumbnail. So glad I clicked yours. Oh dear, the accent really helped too. I digress. Really good video, I seriously finally understood. Thanks!
such an amazing explanation of regression. I have searched a lot of video clips. this is the best to get the concept of regression. Amazing. I think the rest four on regression will also be nice like this.
Very good explanation. Would have been great if I saw this before my exam, but at least I have a better understanding of this, which I can apply in the future.
@@ashishk81 The statement can still be true. In 2 minutes, they understood what took the teacher over a week. Say it was exactly one week as an easier example: Then in 4 minutes it would be the equivalent of 2 weeks with their teacher. In 8 minutes it would equate to 4 weeks. As "Vis o length is 15 min" it means it would have taken their teacher over 7.5 weeks. Maybe you should learn statistics ;) lol
@@ashishk81 Also, just for lolz, I watch tutorials at 2 times speed and i skip to the next part when I've understood the current concept, since there is often repetition or examples. I understood this lesson in way under 15 minutes. So it's not like all brains work at the same speed. Hell some people can read a 1000 page book in a day.
I'm watching a 9-year-old video on 10/5/2020. The best explanation video I can say. I was confused even after half an hour of searching and he explained everything in a detailed manner with the appropriate choice of words. Thank you very much.
Wow dude, you're going to help me actually pass this quantitative analysis class for my public policy degree. I was really worried that i just couldn't understand this stuff until now. Thank you for breaking things down and making them so simple and straightforward. This actually makes sense now.
Thanks heaps for this series mate. I'm taking a course (Data Analysis for social scientists) from MIT and it's so bad that I'd almost given up. I usually write down the concepts in a notebook and try to make sense of things. But it wasn't working for that course. This has helped a lot more than those taught by Nobel prize winning instructors! No offense to them but your content is a lot easier to follow and understand the intuition behind it all. I'll attempt that course again after going through your material. I can never thank you enough. Hope things are better in Sydney. We're under stage 4 curfew here in Melbourne. Good time to gain some knowledge. Hopefully I can contribute to the community in future. Cheers mate.
@@PunmasterSTP hey.. yeah, the course was okayish. I was probably a bit too harsh in my original comment. But given a chance I wouldn't do it again. If someone is a complete beginner the course is going to be overwhelming as it covers a lot of stuff but only at a very shallow level. If someone already knows these stuff then they might gain some value out of it. It doesn't teach R either and expects students to know how to program in R before starting the course. Depends on what you're trying to achieve. I liked the Machine Learning course. The Probability and the Statistics courses are amazing. But they're very theoretical and teach the mathematics and intuition behind those formulae and even derive many of those. I'm looking forward to the Python Data Analysis course this May. It's replacing the Data Analysis for social scientists course!
@@jaypod I definitely know the feeling about "hidden prerequisites" and unreasonable expectations. I'm glad there were some good qualities to your courses, and I'm glad to hear about the Python Data Analysis class!
Several hours after diving into a regression rabbit hole on RU-vid, I can condiently say that this is the most intuitive explanation I found. Thanks a lot, Zed!!
Hey SSaB, thanks for the comment. Check my reply to Sachin's comment below (as he had the same problem). It might be an Australian/American difference, but depending on what E and R stand for, the meanings might be reversed. My advice? Never just write SSE and SSR. It's one of the more annoying inconsistencies in stats - so always take pains to explicitly what the letters stand for (in someone elses explanation, as with your own work!). Hope that clears it up!
My goodness! is all I can say. I have been in limbo in my data mining classes because the professor just keeps talking and talking, and I can't seem to understand anything. Your videos have been a lifesaver. Not all professors ought to be teaching, and this is why students sometimes grow weary of going to school because some professors are better at research than teaching.
This literally is the best explanation of the regression terminologies. I have had so much confusion despite reading so many text and videos. However, your explanation was so eloquent, precise and to the point. Thank you very much for your contribution :D
you are saving my life here man. Have an exam in statistics tomorrow, which i am deff going to fail, but im going to watch your videos and try to catch up with everything for my re exam in 2 months. The books and colleges i got from my university are as if they are in chinese to me; this is so much more understandable!
This is just amazing, I read thrice the CFA curriculum, which is written by PhD, Masters, but couldn't understand the single thing. Kudos to our new quants prof.
The population regression function was something I didn't pay attention to before, but learning more about it from your video really helps me understand the regression concepts better!! Thank you!
Thanks buddy, for making the effort to produce this useful explainer video. I'm currently doing a part-time MBA and having trouble understanding the statistics class. 9 years after your post, viewers like me are still benefiting! - Your new subscriber from Melbourne
You are so talented in explaining it. You spoke clearly and articulately. It makes it easy for others to follow. I wish I had professors like you when I was in college. Great job, thank you for sharing. Please make more videos of the same kind.
OMG thank you for this simplified, clear, and concise explanation on regression. I never had an instructor clearly explain the coefficients and symbols, which is why it's so intimidating for me to complete a formula. I still have some questions about the estimates for B0 and B1, but overall very helpful. THANK YOU!
Oh. My. God. This is the best video I have ever seen on Regression basics. You're so coooool, sir. I wonder how you taught yourself this because it's pure genius. I am so happy, I am really struggling with Regression Analysis, that too simple reg. Idk what would happen in multiple regression.
What is regression? More like "Your videos are certainly impressin'!" Thanks for making and sharing them; they had some of the clearest descriptions I've seen anywhere in RU-vid.
Amazing! I'm a postdoc coming from a qualitative background but now moving into a more quant space, and I'm missing really fundamental principles of this stuff which are explained beautifully here. People trying to teach me stats tend to toss out 'obvious' statements like "and of course this R2 tells us how much of the variance is explained by the model", and I had NO IDEA what that meant until today!
Needed to pause the session to leave a comment, even if i am a couple of years to late .... you are really an awesome teacher. If you are not already teaching, think about to do it , the world needs people like you who can explain things in a way that even a stone would understand. Just saying, I had a lot people trying to teach me and normally it requires me doing research at home, teaching basically myself to understand and make use of what was taught to me but with you and your statistic videos I don't feel a research at home is necessary. Ok, in that sense your videos are my research at home but I was not taught before.
Thank you so much for this series. It beautifully binds the interpretation of results with the mathematical concepts behind the regression model. I could not find any other lecture (online or offline) doing that for me. Is there any chance of you covering SEM?
Thank you very much. It shows that diverse approaches and perspectives will help the populace as a whole, come to a greater understanding of life's complexities.
Very informative and easy to follow along..I find a lot of other stat videos a bit confusing and difficult to follow but this video was perfect . Thank you so much.
This video was helpful for me, especially because of the graphics you have used in order to explain the different terms. They are awesome. Thank you very much!
Oh my god this is so good and useful. My bachelor degree is failed in front of this. I could just watch all these videos here and get more knowledge than I would ger through my books.
This is an amazing video. Thank you very much for explaining all terms in such a good visual manner. I was facing so much issue in trying to understand these terms via theory books.
One reason why I hate abbrevations: ESS = SSR Explained Sum of Squares / Sum of Squares of the Regression RSS = SSE Residual Sum of Squares / Sum of Squares of the Error 🤯 statisticians could not make things more complicated! I somehow thought the appellations would be ESS = SSE / RSS = SSR. Thanks for the explanation! I think it is finally stuck in my brain after reading and listening to teachers, writers, university professors... P.S. Wikipedia can be even more confusing: "the explained sum of squares (ESS), alternatively known as the model sum of squares or sum of squares due to regression (SSR - not to be confused with the residual sum of squares (RSS) or sum of squares of errors)" "the residual sum of squares (RSS), also known as the **sum of squared residuals (SSR)** or the sum of squared estimate of errors (SSE)" WAIT WHAT?! They use SSR for both Sum of squares due to regression AND Sum of squared residuals?! 🤣😂 For the confused souls out there, I hope this helps.
thanks a lot Justin. Your explanation is just awesome!Never seen a video with such a clear explanation. I was so afraid of understanding Regression but you made my day :) thanks again!Cheers (y)
