no idea how i have taken two stats courses yet i've never heard degrees of freedom explained, let alone with such simplicity. thank you so much, i have my final tomorrow!
you all prolly dont give a damn but does anyone know of a method to log back into an instagram account..? I stupidly lost my account password. I appreciate any tricks you can give me!
Having made high score in statistics, I never felt that I really grasped the meaning of each important terms. After watching 3 of your videos, I started to truly understand statistics first time in life. Thanks so much!
The amount of time I've spent learning statistics has been wasted up until this point. This video is so damn intuitive that all the past learning is very clear. Thank you so much.
After all these years, I've finally found a decent explanation for the concept of R^2 and df. Can't believe they don't teach stats like this in school. Thank you so much!
You actually did a great job taking a time explaining what those variables are unlike paid college professors who just write out solutions to the book's problems on the board while narrating it nonstop.
Thanks for a great teaching video. You have explained in an elegant way so that everyone can understand. Please continue with your work. Simply fantastic!!
I just want to say thank you VERY much for the videos. I started a master in the Netherlands and it is being very very very helpful, much more than what I was seeing in the classroom.
Degrees of freedom? More like "Dang, these are some of the best of 'em!" Your videos are some of the best on RUclips, and I really hope that you keep them coming.
An excellent explanation. Was using this to review an old stats class after someone asked me to explain to them what DF is. Realized I didn't have a simple explanation of what it actually is. Thanks!
Thank you very much..Finally after a lot of searching and looking into videos, it is from here that I was able to clearly understand the concept of Degrees of Freedom.
i sort of understand degree of freedom from all the reading but could not re-explain it by myself in a simple and easier to understand term! this is perfect thank you so much :)
Thank you very much! You have shown how powerful and important diverse approaches and perspectives are to growing community knowledge. After all, why were we given a diverse approach in the first place? You were given yours to help us understand and grow.
This is great. Waiting for the remaining ones. With a non stats background, i dont think i would have been able to understand this in a better way than this. GREAAT WORK. THANKS:)
Thank you so much for these videos, they are very helpful. Please, please make the 3rd, 4th and 5th video about this topic too! I'm looking forward to them. :)
Justin, I was struggling with REAL concepts of SLR, your explanation along with examples really clarified all my queries and assumptions. Now I'm eagerly waiting for Regression III :) ... Thanks once again !!
This is your second video I am watching and both have given simple and clear explanations to the topics treated. Excellent and thank you. I am learning data science and would ask if you could delve into all the statistics that support the different data science models. Maybe you have, I am not sure.
THANK YOU SO MUCH for noting and acknowledging that the SSE is actual the sum of residuals squared, and SSR is the sum of the explained error squared. Every other stats teacher who fails to explain this should be fired for torturing their students.
It is truly unfortunate that we must rely on talented philanthropists like Zed to providee us with the very thing we should have received for paying so much money to the university or college! Bless Zed for his contribution to the knowledge of the masses out there!
hi bro, your both videos are awesome. i used to hate this subject but after watching your videos i feels like econometric is easiest subject. it would be great help if you could share the link of your other three videos. thanks.....
Thank you for explaining the concepts in such a simple way.It was really informative and easy to understand. Could you explain how decrease in DF leads in increasing R2.
Imagine there are three fireflies hovering in your bedroom. You take out a big sheet of rigid cardboard. If you can only hold the cardboard horizontally, you will probably only touch one of the fireflies. If you were allowed to hold the cardboard at any angle, you could touch ALL THREE fireflies no matter where they are in the room. Consider now that you had 10 fireflies instead of 3. Allowing the cardboard to be held at any angle still improves the ability to get closer to all the fireflies. This analogy shows that when DF decreases (in other words, when you have more dimensions/variables to work with for a given number of observations), you will ALWAYS get closer to perfectly identifying the observations.
Awesome videos! Just one quick question about this one...you say adjusted R squared decreases as k increases but the last part on the spreadsheet adjusted R squared is increasing as k increases up to the 7th added variable then it decreases. Does this mean that when the adjusted R squared starts decreasing you have too many variables?
5:58 The 3rd point allows the model to differ from the 2 two points -> one degree of freedom. Add 4th points -> 2 degree of freedom -> give the model more power to estimate
Hey I know this was years ago, but I just came across your comment and was curious. How did the rest of your class go, and how have things been going since then?
Consider the equation x + y + z = 12. I have 3 - 1 = 2 degrees of freedom, meaning I am free to assign values to precisely two of the variables (say x and z). Now let's assume we have four data points and two. Now back to the regression problem, let's assume we have four data points and one variable ( a line we are trying to fit). According to the provided formula, the degrees of freedom is 4 - 2 = 2. Which two variables am I free to assign values to?
no idea how i have taken two stats courses yet i've never heard degrees of freedom explained, let alone with such simplicity. thank you so much, i have my final tomorrow!
you all prolly dont give a damn but does anyone know of a method to log back into an instagram account..?
I stupidly lost my account password. I appreciate any tricks you can give me!
Hey I know it's been a long long time, but I just came across your comment and got curious. How did that final go?
Hey I know it's been a long long long time, but I just came across you guys comments and got curious. So how did that final go?
5:58 - total eureka moment. RUclips videos teaching me more efficiently than my university lectures.
i feel the same :'(
boy i learned linear algebra,calculus and computer science that way. Now im on stats because i need it for machine learning . Unis sucks big time .
It took you two years to post this second part but the wait was totally worth it.
Having made high score in statistics, I never felt that I really grasped the meaning of each important terms. After watching 3 of your videos, I started to truly understand statistics first time in life. Thanks so much!
The amount of time I've spent learning statistics has been wasted up until this point. This video is so damn intuitive that all the past learning is very clear. Thank you so much.
After all these years, I've finally found a decent explanation for the concept of R^2 and df. Can't believe they don't teach stats like this in school. Thank you so much!
please, don't stop. Your videos are an excellent study material
This explanation of Degrees of freedom blew my mind. Always i have heard degrees of freedom is n-2 but i have no clue what that meant until now.
This is the best explanation about degrees of freedom I've seen. Thank you very much.
One of the best explanation of degrees of freedom and R squared that I came across internet... Cheers!
You have explained degrees of freedom , R squared and Adjusted R Squared better than any university lecture. Thank you
Brilliant. I have read countless texts and seen countless videos on the subject and this is the 1st time i get an intuitive grasp.
Its pretty useful, and the way you explain d.f. is much easier than most of other people
I've heard others talk about degrees of freedom... but like always, you Zed it best.
Really enjoyed your 2 videos so far, very nice intuitive explanations. Please continue working on these!
Never came across a better explanation than this one for dof and adjusted R2. Thanks a lot
Prof. Alex Excellent & Brilliant
You're my absolute hero for putting these concepts into such simple terms! I think you should be a teacher!
Now three years into being a highschool teacher thanks to comments like yours :)
@@zedstatisticswhat were you doing earlier? Were you working for company?
You actually did a great job taking a time explaining what those variables are unlike paid college professors who just write out solutions to the book's problems on the board while narrating it nonstop.
They're comin :) got a newbie called "WTF?! Normal Distribution?" to check out in the mean time. Thanks Harsh!
zedstatistics this is beautiful explanation of degrees of freedom. Wish I knew this in Uni. Good one
Thank you very much. I never understood Degree of freedom but with the help of this video I got it. Thanks a lot. Please continue posting more videos.
I swear to god you are the best statistics teacher that I've ever found. I love how you always explain things so intuitively!
Best explanation of degrees of freedom I've found so far!
:)
Thanks for a great teaching video. You have explained in an elegant way so that everyone can understand. Please continue with your work. Simply fantastic!!
You are such a great teacher. I wish my professors taught like you did...
I just want to say thank you VERY much for the videos. I started a master in the Netherlands and it is being very very very helpful, much more than what I was seeing in the classroom.
I'm just curious, how is your Master's going?
Degrees of freedom? More like "Dang, these are some of the best of 'em!" Your videos are some of the best on RUclips, and I really hope that you keep them coming.
An excellent explanation. Was using this to review an old stats class after someone asked me to explain to them what DF is. Realized I didn't have a simple explanation of what it actually is. Thanks!
I have read about every explanation of df and this is the only one that's made it clear!
Please upload remaining parts of this series. They are really great :)
Best video on degree of freedom. Very intuitive. Love it ❤️. Thanks for making things so simple.
thank you so much, you are the best teacher in youtube i have ever seen in stats
Thanks a ton. Amazing explanation!!! Your videos have helped me understand concepts way better than any other platform.
Got an exam in two days and these videos have already really helped with the statistical part of it! Thank you very much!
Hey, I know it's been years, but how did that exam go?
Very clear explanation on degrees of freedom and its effect on R squared, thank you
Thank you very much..Finally after a lot of searching and looking into videos, it is from here that I was able to clearly understand the concept of Degrees of Freedom.
i sort of understand degree of freedom from all the reading but could not re-explain it by myself in a simple and easier to understand term! this is perfect thank you so much :)
The most succint explanation of df I have ever seen. Thank you!
Very good video. Clear, assertive and very well presented. Thumb up 103 is mine.
Thank you for this. Was looking online for intuition and only got "n - k - 1" with no explanation. This makes complete sense.
Please post more! Your videos are so helpful!
Thank you very much! You have shown how powerful and important diverse approaches and perspectives are to growing community knowledge. After all, why were we given a diverse approach in the first place? You were given yours to help us understand and grow.
Excellent. Helped me to understand degrees of freedom and R2 which I was struggling with so long
YOU MADE IT FLAWLESSLY MAKE SENSE. THANK YOUUUUUUUUUUU
Great explanation Justin! Really helped to refresh my memory about these ideas.
Thanks so much! It was the best video, I've ever seen about the Degree of Freedom.
Fantastic explanation... Please upload more of ur videos.. ur really a good teacher
I rarely comment, but this was actually very useful. You have managed to make me understand what df means. Thank you!
Studying for the CFA and your videos are so helpful! Thank you!
Great videos that give me so much more clarity for many problems. Thanks for the great work!
This is great. Waiting for the remaining ones. With a non stats background, i dont think i would have been able to understand this in a better way than this. GREAAT WORK. THANKS:)
One of the best explanations of DoF and Rsq-Adj I have seen. Thanks.
Thank you so much. Tears on my face and can’t stop
this video gives you an understanding of concepts on three levels:Intuitive,Graphical ,mathematical
Thank you so much for these videos, they are very helpful. Please, please make the 3rd, 4th and 5th video about this topic too! I'm looking forward to them. :)
I’m truly grateful for your videos
Very Informative Sir. you have great command over regression analysis
Your explanation is way beyond awesome.... Thanks
Justin, I was struggling with REAL concepts of SLR, your explanation along with examples really clarified all my queries and assumptions. Now I'm eagerly waiting for Regression III :) ... Thanks once again !!
Waiting for moore! :) this was really fun to watch especially because of the simple visualization !
Thanks for your simplicity in explaining!
A fantastic video. Thank you for enlightening such a confusing topic sir. You have my respect!
Best explanation of df that I've seen. Thank you.
what a beautiful explanation on degrees of freedom!!!! Thank you!!!!
Very beautifully explained...!!! Thanks a lot sir...please continue good work.
15 minutes of this video taught so much more than hours of university classes
Just wow, amazing presentation, thank you so much
This is your second video I am watching and both have given simple and clear explanations to the topics treated. Excellent and thank you. I am learning data science and would ask if you could delve into all the statistics that support the different data science models. Maybe you have, I am not sure.
How have your studies been going?
you know your stuff man keep it up God bless you sir
THANK YOU SO MUCH for noting and acknowledging that the SSE is actual the sum of residuals squared, and SSR is the sum of the explained error squared. Every other stats teacher who fails to explain this should be fired for torturing their students.
thank you very much for a straightforward explanation of econometrics.
It is truly unfortunate that we must rely on talented philanthropists like Zed to providee us with the very thing we should have received for paying so much money to the university or college!
Bless Zed for his contribution to the knowledge of the masses out there!
very well explained..hope to see the next 3 videos soon!!
Maths is indeeed beautiful and your explanation drives the point home.
THANK YOU SO MUCH, gosh statistics and econometrics is so tough :'(
hi bro,
your both videos are awesome. i used to hate this subject but after watching your videos i feels like econometric is easiest subject. it would be great help if you could share the link of your other three videos.
thanks.....
Wish I found you earlier! You're a legend!
I loved your lesson. Thank you very much in deed!
I am looking forward to watching the following 3 sequel of this video.
Hoped to see the next one too :( it's so good and clear. Thanks for your effort
Great explanation and visualization - thanks!
Thank you for explaining the concepts in such a simple way.It was really informative and easy to understand.
Could you explain how decrease in DF leads in increasing R2.
Imagine there are three fireflies hovering in your bedroom. You take out a big sheet of rigid cardboard.
If you can only hold the cardboard horizontally, you will probably only touch one of the fireflies.
If you were allowed to hold the cardboard at any angle, you could touch ALL THREE fireflies no matter where they are in the room.
Consider now that you had 10 fireflies instead of 3. Allowing the cardboard to be held at any angle still improves the ability to get closer to all the fireflies.
This analogy shows that when DF decreases (in other words, when you have more dimensions/variables to work with for a given number of observations), you will ALWAYS get closer to perfectly identifying the observations.
Thank you for the detailed explanation.
Brilliant video.. Would appreciate if you could come out with a view advanced topics on regression too!
Great video, please finish the series!
Finally understand degrees of freedom. Thank you!
BRILLIANT !!! BEST I HEARD FORM ANYONE !!
Awesome videos! Just one quick question about this one...you say adjusted R squared decreases as k increases but the last part on the spreadsheet adjusted R squared is increasing as k increases up to the 7th added variable then it decreases. Does this mean that when the adjusted R squared starts decreasing you have too many variables?
Thanks! This is the only place I actually understood df.
Can we have part III, this is really helpful!
Excellent video... Plz do the other videos as well....
very informative n simply explained. thanks a ton
5:58 The 3rd point allows the model to differ from the 2 two points -> one degree of freedom.
Add 4th points -> 2 degree of freedom -> give the model more power to estimate
you teach better than teacher at university for which i paid 26,000 pound
Super explanation on degrees of Freedom 🙂
Amazing and very helpful.
Thank you SO MUCH, learning so much here than in my class!
Hey I know this was years ago, but I just came across your comment and was curious. How did the rest of your class go, and how have things been going since then?
Great explanation on degrees of freedom..
Thank you very much for explaining it so well with an example.
Excellent explanation of DOF!
This is genius stuff. Thanks Zed!!
Consider the equation x + y + z = 12. I have 3 - 1 = 2 degrees of freedom, meaning I am free to assign values to precisely two of the variables (say x and z). Now let's assume we have four data points and two. Now back to the regression problem, let's assume we have four data points and one variable ( a line we are trying to fit). According to the provided formula, the degrees of freedom is 4 - 2 = 2. Which two variables am I free to assign values to?