This series has helped my more in 30 mintues than 3 different lecturers did over 20+ hours of lectures, you have an incredible ability to explain things simply without being reductive and waste no time without feeling rushed. Thank you so much for making this!
Amazing video!!! Well explained. You should go into teaching at college or university level. You'll be doing service to humanity. I don't think professors can even come close to how well you explain difficult concepts. Each and every step has been explained very well. I, for now, better understand this concept. Thankyou so much. I will be contributing to Patreon to support this good effort
Amazing content and amazing explanation, you’re not only making statistics so easy but also so much fun to learn, huge wonder how your channel only got a small number of subscribers...
Firstly l whole heartedly thank you for simplifying this complex subject. Your brilliant explanation can be followed by one and all, specially for confused souls like me. I would beg you to upload more videos in this statistics section.
Thank you again, I have watched your nine series video about statistic so far and have found that they are the best. You have made the statistic easily to learn.....GBU.
Amazing content, beautiful and easy to understand, clear and simple and highly recommended for all statistics enthusiasts! Not to mention the extremely cute animation and characters! Gob Bless You!
man really ur doing nice work.i learn this concept from other channels....but today i actually understand the concept :)... i am sharing ur videos in my classes what's app group and my friends really enjoys the video becz now concepts are get clear....plzzzzzz make more videos ...ur good teacher :)
Thank you so much for commenting and sharing it with your classmates, it really helps me grow my channel! I am doing my best to create more videos, but each video takes me over 100 hours to make so it is a work in progress :)
I kneel down to you sir! Thank you so much! You have helped me a lot... I was struggling really, adding that I do not even understand the symbols used in the regression equation and my slow brain contributes to my sufferance but your brilliant video worked like magic. Keep up the good work please!
Sir, I have a doubt. Why do we need r-square to tell us how well the regression line fits the actual data, when we get the same aspect served by the absolute value of r itself? An absolute value of r closer to 1 indicates that the regression line is a good fit.
Yes that is correct, an absolute value of r equal to 1 indicates that an r-squared value would also be equal to 1. That is an instance where it would be pointless to use r-squared to see if the regression line is a good fit. However, we can use r-squared in cases where the answer isn't really clear cut, and is a way for us to "check" when we need more information.
Thank you for the comment Teddy. This was one of my older videos from 4 years ago, and at the time I just assumed that every viewer watched my previous videos in the series (which was a mistake on my part). I will definitely be re-doing this video in the future since I've gotten a lot better since then :) if there is anything else you would like to see changed, please let me know because I value this type of feedback and I love helping people learn!
I never understood this statement that x% of the variation in gpa is explained by study time. What is the meaning of variation in this case. Can someone explain in simple terms?
Thank you, you explained in 6 minutes what my professor took 3 hours to unsuccessfully explain this.
Thank you so much! Thank you for comment, it really supports my channel!
@@Simplelearningpro Hello, I need to contact you, Please share your contacts
you didn't concentrate for 3 hours so that's why you didn't get anything :D
so true
Maybe because you're actually listening
I never knew Regression could be taught so simply. This was so easy to understand. Thank you!
I just wanted to say I'm still benefiting from these contents even they were uploaded along time ago. Kudos to the creator!
This series has helped my more in 30 mintues than 3 different lecturers did over 20+ hours of lectures, you have an incredible ability to explain things simply without being reductive and waste no time without feeling rushed.
Thank you so much for making this!
Best example ever to explain regression, "Facebook" and "Studying" thanks
I wonder why I was unable to find this channel in the past 8 years. Brilliant education. Would love to see more videos.👏
Simply awesome. Came here post few long hours of LinkedIn courses and this is exactly what I was looking for.
I've watched a lot of videos for stats and this is one of the clearest explanations. The visuals are so helpful.
Amazing video!!! Well explained. You should go into teaching at college or university level. You'll be doing service to humanity. I don't think professors can even come close to how well you explain difficult concepts. Each and every step has been explained very well. I, for now, better understand this concept. Thankyou so much. I will be contributing to Patreon to support this good effort
Thank you so much I really appreciate that!
It's a lovely video. You have clarifies each and every thing like we extract a hair from the butter. Thanks for this video. ✌️♥️
Thank you. Honestly tired of people saying “oh don’t worry about that it isn’t important”
Thank you - this is brilliant - I was not clear even after 2 lectures and a complicated chapter in a text book and after 6 mins it is simple to me!
Extremely clear explanation, thumbed up and subscribed.
Thank you so much :)
Jake, You are a genius pro teacher. Thank you , Thank You, Thank you. Why there are 28 thumbs down for such a nice video. Thumbs UP.
Thank you :)
I'm in my second year and was somehow confused about this whole thing , you made this all so clear for me thanks.
Your videos are just great. I truly appreciate the time and effort you put into preparing these videos. ( It must have taken hours if not days.) 🙏
Thank you so much! And yes, each video takes me over 100 hours to create
Thank you so much for such simple yet super effective videos you’ve made! Please make more videos like this. I would totally support your channel!
You are the future of education. Thank you master.
You should add equation for calculating R and R-square
Amazing content and amazing explanation, you’re not only making statistics so easy but also so much fun to learn, huge wonder how your channel only got a small number of subscribers...
Thank you so much for your comment! I am doing my best :)
Simple Learning Pro you’re above and beyond, keep up the good work...best of luck 👍🏼👍🏼👍🏼👍🏼
After three days of searching, I got the perfect presentation. Very nice teacher.
LOVED, simple, easy, i'm studying marketing analytics now, and how to make regression models, this helped me a lot to contextualize! Thanks!
I'm glad I helped! Good luck with your studies :)
Firstly l whole heartedly thank you for simplifying this complex subject. Your brilliant explanation can be followed by one and all, specially for confused souls like me. I would beg you to upload more videos in this statistics section.
Thank you very much! Excellent explanation! I learn from your videos better than from books!
Thank you again, I have watched your nine series video about statistic so far and have found that they are the best.
You have made the statistic easily to learn.....GBU.
Great to hear! Thank you
Thank you so much. I didn't get the point after three hours of my professor's lecture. Your video is so clear.
Glad to hear that!
Evergreen Goldmine of hard topics in statistics by candid explanation & animations !
Amazing content, beautiful and easy to understand, clear and simple and highly recommended for all statistics enthusiasts! Not to mention the extremely cute animation and characters! Gob Bless You!
Really appreciate your explanation of regression and r-squared...
you deserve a medal
Those people giving thumbs down to this video are those spent way too much time on FB!
God level explanation, considering teaching for graduate students.
You are awesome, I spent 3 days learning this...
Excellent explaination of Regression and R2
Simply great, in a little time a simple and linear explanation. Please do a lesson about p-value,t-student
every time i finish a video of yours i want to cry because i finally understood a concept T_T
Totally great explanation...bravo❤
I'm a math teacher and wanted to know what software you used to create this video? It is very well done!
this video helped me so much, thank you.
man really ur doing nice work.i learn this concept from other channels....but today i actually understand the concept :)... i am sharing ur videos in my classes what's app group and my friends really enjoys the video becz now concepts are get clear....plzzzzzz make more videos ...ur good teacher :)
Thank you so much for commenting and sharing it with your classmates, it really helps me grow my channel! I am doing my best to create more videos, but each video takes me over 100 hours to make so it is a work in progress :)
@@Simplelearningpro I wonder which animation software are you using.
Thank you so much for this easy explanation. You made life easy.
Short and precise 👍🏻
Thank you, this was an amazing summary that explains everything I needed to know.
Summary: 88% of the variation in GPA is accounted for by its regression on study time, given r^2 = 0.88
U ARE LEGEND WAIT FOR IT DARY
Thank you for simplifying this
thankyou for your clear communication on the concept!
very clear explanation thanks!
Amazing explanation
THIS HELPED ME SO MUCH. THANK YOU
Your explanations is so concise and clear. Thank you very much
Thank you for leaving a comment! It helps me to keep going :)
Please keep on! This is so helpful!
Insanely claer explanation, big shoutout to you homie!
Thanks homie! I wish you the best in your studies!
WOW ! , amazing video as always
Please make videos on linear regression, multiple regression, and other regression model with their calculations and equations.
Thank you.
Explained so simply in few words
Fantastic video
Very well explained
Thanks for explaining in such an easy way!
No problem, thanks for leaving a comment :)
Thank you very much. Quick and clear.
Brilliant. Thank you so much for this🙏
Thank you for this video.
I kneel down to you sir! Thank you so much! You have helped me a lot... I was struggling really, adding that I do not even understand the symbols used in the regression equation and my slow brain contributes to my sufferance but your brilliant video worked like magic. Keep up the good work please!
Thank you very much! Good luck with your studies!
@@Simplelearningpro thanks!
Little Correction
Regression Line predicts the ''Mean(average)" change in Y when X increases by one unit.
y^ = b0 + b1x
where y^ = E(y/x)
What is E bro in E(y/x)
@@amankumarverma4153 E means Expectation (Mean of Random Variables)
en.wikipedia.org/wiki/Expected_value
Great explanation. Thank you!😀
Thank you very much for this wonderful piece. I'm now a professor on my own...lol!
Really helpful video
I learned a lot from your vids! Been watching others but they don't clearly explain everything. Hope to learn more from you and keep it up uwu
Thank you very much! More videos will be coming soon. Feel free to support me in Patreon as well!
Great explanations! Thanks!
wallah ur acc a life saver
Very well explained.. thank you
Thank you v.m. STAY BLESSED!!!!!
Excellent explanation!
Thank you! This was very helpful :)
Man why'd you stop making videos. These are goldddd
I still am making videos! They just take awhile to create haha
Great video
You are just amazing ❤️
Thank you!
Excellent..thank you
That was the best explanation.
Thank you very much!
Sir, I have a doubt. Why do we need r-square to tell us how well the regression line fits the actual data, when we get the same aspect served by the absolute value of r itself? An absolute value of r closer to 1 indicates that the regression line is a good fit.
Yes that is correct, an absolute value of r equal to 1 indicates that an r-squared value would also be equal to 1. That is an instance where it would be pointless to use r-squared to see if the regression line is a good fit. However, we can use r-squared in cases where the answer isn't really clear cut, and is a way for us to "check" when we need more information.
What about r2 is equal to 0.7 is the model good fit or perfectly fit ?
Great video 👍
It’s really sample learning .. I was confusing with some stuffs .. thanks a lot ..
You are a genius. Just re do the formula for standard deviation. We do forget at times.
Thank you for the comment Teddy. This was one of my older videos from 4 years ago, and at the time I just assumed that every viewer watched my previous videos in the series (which was a mistake on my part). I will definitely be re-doing this video in the future since I've gotten a lot better since then :) if there is anything else you would like to see changed, please let me know because I value this type of feedback and I love helping people learn!
Thank you
Please upload more videos
Thank you! 😊
Any time!
short but help me a lot. tq!
Excellent
Great explanation!
Thank you!
Nice video! Thanks
I appreciate your comment. Thanks for watching!
thank you very much
Explanation is good
Well explained!!
Thank you :)
Easily understood, can you please share the video highlighting difference between R-sq and R-sq (adj.)?
Thank you, sir!
You're welcome :)
Tq.. Good example
I never understood this statement that x% of the variation in gpa is explained by study time. What is the meaning of variation in this case. Can someone explain in simple terms?
How can I know the value of y hat where b0 will be subtracted? Thank u.
FROM WHERE we get this equation B1= R *(Sy/Sx)??
Thanks
thank you.