Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/
@weixiangzhao5612 жыл бұрын
Everyone should buy this book if you want to learn machine learning. It is the greatest 20 bucks that I have ever spent in my entire life.
@statquest2 жыл бұрын
@@weixiangzhao561 BAM! Thank you very much! :)
@dipenpandit684 Жыл бұрын
This video isn't available in Nepal. Can you please make it available sir? I really love your content. 🙏
@statquest Жыл бұрын
@@dipenpandit684 I'm working on it. It's some strange thing with youtube and I've contacted them.
@alicefriedman7607 Жыл бұрын
I love this book! I have taken Stats so many times but I still learned so much. Thank you for writing this book!
@rmenchoachupicachu7 жыл бұрын
I have been enrolled in a graduate machine learning course for about a month now and you have just demystified so many details around Linear Regression. Please do more ML videos! They are so clear and helpful. If you can, please do one on Regularization and Decision Forests.
@majeedhussain32766 жыл бұрын
You deserve more subscribers, the quality in your videos is so intuitive that even a high school student understands. Please do upload videos, keep going. I really think ur gonna get more subscribers in future.
@adambis33711 ай бұрын
You were right
@wirotep.12107 ай бұрын
Can’t agree more
@PunmasterSTP6 ай бұрын
Definitely! I'm glad that as of March 2024, he's got over one million subs (1.13 to be exact)!
@rishabh28924 жыл бұрын
After weeks of research and frustration, I have finally understood the concept of least squares so well! You explained the concepts so simply and logically!! Thank you so much for this amazing video. Much appreciated.
@statquest4 жыл бұрын
Thank you very much!!! :)
@kenway3464 жыл бұрын
I actually took machine learning as the elective subject for my final year of engineering and I pretty much guess that this channel's going to teach me every thing!
@statquest4 жыл бұрын
Hooray!!! :)
@User-l3u6m2 жыл бұрын
@@statquest your vids are so good I watch your videos for entertainment lol
@PunmasterSTP6 ай бұрын
How'd the machine learning class turn out?
@homeboy66682 жыл бұрын
I must admit sir, you are one of the best teachers I've ever had. Thank you for being so awesome!
@statquest2 жыл бұрын
Wow, thank you!
@maggiechen11413 жыл бұрын
Thank you!! After somehow passing 2 PhD quantitative methods modules and not really understanding why we did any of it, your channel has finally cleared a lot of stuff up!
@statquest3 жыл бұрын
Great to hear!
@frankchen42292 жыл бұрын
How the hell did you pass
@maggiechen11412 жыл бұрын
@@frankchen4229 do what you're told and don't ask why
@frankchen42292 жыл бұрын
@@maggiechen1141 huh. Maybe PhD isn't so bad.
@kapricun Жыл бұрын
@@maggiechen1141 best advice so far
@toandef31097 ай бұрын
You have no idea how much I appreciate the clarity and simplicity of this explanation, you deserve a medal
@statquest7 ай бұрын
Thank you!
@odins_claw3 жыл бұрын
Your presentation style is way ahead of anything else on this platform. You don't have the inefficient habit of deriving everything from first principles but allow a holistic intuition to develop. Absolute magic!
@statquest3 жыл бұрын
Thank you! :)
@MrCentrax2 жыл бұрын
I always wanted to know why the formula squares the distance and then get the root instead of using the absolut value. You're the first one to explain this. Thank you!
@statquest2 жыл бұрын
Thanks!
@fertingoff4 ай бұрын
So can you explain in your own words in short then? Thanks
@mostinho74 жыл бұрын
Done thanks We take the square to make all the errors positive (we want to find the total error of the points from the line) We want to find the optimal values for a and b in the equation of a line that minimize the sum of errors squared. We can express the sum of squares as a function of a and b and take the derivative to optimize it 5:45 We find the slope that minimizes the error by finding the minima of the multi variable function (variables are a,b) 7:30
@benparasa Жыл бұрын
There are so many videos on this subject where they say what and how to use least squares method of find the line of best fit but you are the only one who explained the concept behind this method. Thank you.
@statquest Жыл бұрын
Thanks!
@Jef-ur7zv2 жыл бұрын
the quality of these videos seem to have improved greatly over the years, but the simplicity was always there. Amazing!
@statquest2 жыл бұрын
Some of the early videos are still the best.
@_aft4 жыл бұрын
It literally only took me 15 seconds to subscribe because of his unique 15 second intro
@statquest4 жыл бұрын
That's awesome! :)
@balajichandrasekaran63123 жыл бұрын
@@statquest i think you should add fitting a curve to data in this playlist
@doge615410 ай бұрын
english is not my first language, but i can clearly understand your explanation. Thank you sir!
@statquest10 ай бұрын
Thank you!
@Neoclassicalmaese4 жыл бұрын
I don't think I have ever clicked on the subscribe button that fast. Absolutely amazing
@statquest4 жыл бұрын
Awesome! :)
@aldikroos62904 жыл бұрын
Me too
@avishekdey19434 жыл бұрын
I never understood why we needed to plot a line. Now I do. It is amazing
@blessinglotus3 жыл бұрын
I keep coming back for more! THANK YOU SO MUCH!!! This is so clearly explained than any other tutorial/video/in-class session I've ever listened to! You are the best!
@statquest3 жыл бұрын
Wow! Thank you very much!
@datasciencewithjazz58543 жыл бұрын
Josh your songs and teaching are excellent, you are doing something no one else has done in my life: inspiring me to become a Data scientist as well as a composer
@statquest3 жыл бұрын
Wow! That is awesome! BAM! :)
@reginango90093 жыл бұрын
This video made me stop crying from stress of barely understanding anything in my class. Thank you
@statquest3 жыл бұрын
Glad it helped!
@bigvinweasel10503 жыл бұрын
Right?! This channel is so underrated, we have to change that!
@statquest3 жыл бұрын
@@bigvinweasel1050 Wow! Thank you!
@bigvinweasel10503 жыл бұрын
@@statquest I'm serious! If you ever need anything done on Python for content - I would be more than happy to write it out as clearly and as elegantly as I can so you can use it for content.
@moneyman22005 жыл бұрын
I've read a few undergrad texts and none of them actually explain the origins of the idea behind least squares. At least not in a simplified visual form, you're usually just explained the problem and slapped with the simple linear model and then the generalized version....This gives some insight into the motivation behind this technique. Thank you for donating you're time to such a altruistic cause. You a real one!
@statquest5 жыл бұрын
Thank you! :)
@uchuhikari92923 жыл бұрын
I have watched and read so many articles but this video explains the use of sum of squared errors and why its important. Thank you!!!
@statquest3 жыл бұрын
Hooray! :)
@pravinsaraswatula52634 жыл бұрын
StatQuest Team - Thank you so much for all your efforts. For the last few months, I felt like that mouse stuck in a wheel going round and round with concepts as I got deeper into ML. A definite recommendation to everyone and anyone irrespective of their ML proficiency.
@statquest4 жыл бұрын
Awesome! Good luck with your ML studies! :)
@ramkotha47263 жыл бұрын
Never excited more than after watching this video. Truly intuitive and amazing intro to linear regression.
@statquest3 жыл бұрын
Thank you! :)
@divinity11705 жыл бұрын
This is the real teaching. Respect
@guillermoalvarezbacame59093 ай бұрын
This is the best KZbin channel ever, thank you Josh for all your work you doing awesome!!
@statquest3 ай бұрын
Wow, thanks!
@daiannehofig33114 жыл бұрын
Your way to explain these abstract concepts is simply AMAZING!!!! Thank you so much for these incredible videos!
@statquest4 жыл бұрын
Thank you very much! :)
@munny06073 жыл бұрын
This is absolutely fantastic! I am so glad that I found this channel on the KZbin while I am doing the data science self study. I am now understand the concept of OLS which stress me out in a week time before I found this video. Big thanks!
@statquest3 жыл бұрын
I'm glad it was helpful! :)
@akeithkira4 жыл бұрын
OMG !! You really have the best in explaining this concept which most books just want to show how good their English are.
@statquest4 жыл бұрын
Thanks! :)
@vincent35423 жыл бұрын
bro im appreciate every single videos that you've made, i just want to say thanks a ton with not skip ads in your videos, love from indonesian
@statquest3 жыл бұрын
I appreciate that!
@ludelaire9 ай бұрын
Josh, seriously, thanks for all these videos. My ML journey is smoother thanks to them.
@statquest9 ай бұрын
Glad you like them!
@kawaiihellen22852 жыл бұрын
Your videos are helping me write my thesis because I don't have a stats background and went into a science heavy masters. this is just the best!!!!
@statquest2 жыл бұрын
Good luck! :)
@avadhsavsani11482 жыл бұрын
What a legend you are! No words to express my gratitude. You are a blessing to everyone wanting to learn these concepts! Wish you good health and loads of happiness. :)
@statquest2 жыл бұрын
Thank you!
@lampkanocna6 Жыл бұрын
I just "discovered" by myself that lines generated by linear regression always passes (M(X), M(Y)) point (which, when thinked about it is quite intuitive) and thus, we can add constriction, that b=M(Y)-a*(M(X), which allows to solve the equation for just single varible (slope), instead of two (slope and intercept). Thats for sure basic, but im neverthless proud of myself :D Great channel BTW.
@statquest Жыл бұрын
bam!
@gothams11953 жыл бұрын
I'm new to data science, you just nailed it ....amazing explanation...after so many videos...finally understood what the heck Linear regression is ...Thank you so much...
@statquest3 жыл бұрын
Hooray! :)
@franciscoicarocs6 ай бұрын
I just wanted to say that you were born to teach. The book? Are you kidding me? Perfection. I would advise to give the first chapter as free content so everybody can have a taste of your abilities. Favorite quote so far: "The Binomial Distribution makes me want to run away and hide. :) "
@statquest6 ай бұрын
Thank you very much! That's a good idea. I wonder how I can do that.
@franciscoicarocs6 ай бұрын
Favorite new quote just dropped: "the Normal distribution is awesome, and, to be honest, it sort of looks like you..." lol
@statquest6 ай бұрын
@@franciscoicarocs Haha! I'm glad you're enjoying it. I just started (in earnest) to write my next book on neural networks (from simple to start of the art)
@gingerl60814 жыл бұрын
I think that the Blue Lake in New Zealand has some competition for ~most clarity~. This channel is amazing!!
@statquest4 жыл бұрын
BAM! :)
@MrFredazo4 жыл бұрын
I've seen many of your videos, they are amazing good stuff! I just wanted to point out something in this one: you calculate "b" for the first horizontal line, and then you start rotating it to find the best slope. But you never explain WHERE IS THE ROTATION POINT! This is crucial!
@MrFredazo4 жыл бұрын
I mean, to give the intuition that you can assume any intercept and the rotate using it as the rotation point, and it won't change the result.
@statquest4 жыл бұрын
Noted.
@halilibrahimcetin94482 жыл бұрын
Awesome. I am screaming with happiness. Thanks Statquest. Intuition you conveyed to us priceless.
@statquest2 жыл бұрын
Thanks!
@imranullah73553 жыл бұрын
What a teaching style... 200% which I was searching about... Exellent work
@statquest3 жыл бұрын
Thank you very much! :)
@asghaznavi Жыл бұрын
Hello Josh, Thank you for sharing. Every time I sign in, I learn something new from you. Fantastic presentation . Stay blessed.
@statquest Жыл бұрын
Thank you! You too!
@zukofire64242 жыл бұрын
Thanks very much for this. I watched it last year when I was looking to change careers. Re watching now that I'm enrolled in some real training. And Wow!
@statquest2 жыл бұрын
BAM! Good luck with your course.
@nayaksrigovind4 жыл бұрын
This is an amazing video on the intuition behind Fitting lines to data. Loved this video, it gave me a recap on some of the concepts I've learnt years ago and have forgotten.
@statquest4 жыл бұрын
Hooray! :)
@supriyamanna7152 жыл бұрын
taken Andrew's course and bought books, but that intro and vibe is the rela into to ML--I learned that the hard way. Thanks for your songs.
@statquest2 жыл бұрын
:)
@supriyamanna7152 жыл бұрын
@@statquest hey man, I'd like to request you to kindly make a video on how to become an ML engineer from scratch! I am a self taught aspirant. please make the roadmap for people like us
@statquest2 жыл бұрын
@@supriyamanna715 To be honest, you could just start at the top of this and work your way down, through the webinars: statquest.org/video-index/
@kushbhomawat87222 жыл бұрын
AMAZING VIDEO. MAKES STATS AND MATHS MORE LOGICAL AND REAL
@statquest2 жыл бұрын
Thanks!
@aakashgarg663 жыл бұрын
This is the best tutorial channel ever!!
@statquest3 жыл бұрын
Thank you very much! :)
@joehutchison669 Жыл бұрын
maths is so crazy, the explanation was amazing - the people who figure this stuff out are geniuses
@statquest Жыл бұрын
bam! :)
@Nakameguro973 жыл бұрын
The slope explanation gives a good intuitive sense of how to find the best-fit slope and y-intercept for least squares, especially if you have a background in calculus. In contrast, the linear algebra solution of OLS is just that much more shocking/amazing; that the same result can be calculated algebraically for n-space >without< any geometric intuition, without any search in the solution space for slope and y-intercept. Your visual explanation is more intuitive and memorable. The linear algebra approach feels more magical, as I find it harder to remember the derivation.
@statquest3 жыл бұрын
Noted
@ian.ambrose2 жыл бұрын
You have the best teaching skill in the universe.
@statquest2 жыл бұрын
Wow! Thanks!
@michaelvogt77873 ай бұрын
Josh. Ive seen this explanation for near 40 years, always re-watching for someone to explain the approach as well as the instructor who introduced it to me in 1980... your is the best so far. But, you got away w some simplification by starting w a 0- slope line, and the calculatiin of the line's value was sort of 'lost' when you lept to non-zero slope lines... Jussayin. Cheers DocV
@statquest3 ай бұрын
Glad it was helpful!
@aldikroos62904 жыл бұрын
The best teaching video I have ever seen. What a great work!
@statquest4 жыл бұрын
Thank you! :)
@Luxcium Жыл бұрын
BAM 😅😅😅🎉 I reached out to the bottom of the _STACK_ Quest (finally) 🎉❤ Wow 😮 I am on this quest to find out where this will stop since I just learned that I must watch the video *Fitting a Line to Data* also know as *Linear Regression* before I can watch the *Gradient Descent Step-by-Step!!!* so that I can watch the video related to *Neural Networks part 2* that I must watch before I can watch the *The StatQuest Introduction To PyTorch...* before I can watch the *Introduction to coding neural networks with PyTorch and Lightning* 🌩️ (it’s something related to the cloud I understand) I am genuinely so happy to learn about that stuff with you Josh❤ I will go watch the other videos first and then I will back propagate to that first video... And now I feel like it took me 6 years to find out this wonderful video I can't wait to see it😊
@statquest Жыл бұрын
You finally made it!
@jasafraga3 жыл бұрын
I think another reason to take the square error is that it creates an actual geometric square of size of the error (area of the square, A= L*W). Add them all up together to get a 2D representation of the error. Where adding all the absolute error lines is only 1D. Sometimes shapes are easier to visualize. Amazing videos and pedagogy style. Props.
@statquest3 жыл бұрын
Noted.
@user-cb7it9cv9l3 жыл бұрын
Best and simplest explanation ever !!
@statquest3 жыл бұрын
Glad you liked it!
@danielkhromov97243 жыл бұрын
Oh my God this is just the best video I've ever seen about Linear Regression! Thank you very much! I subscribed just after the video, please do not stop!
@statquest3 жыл бұрын
Awesome! Thank you!
@aakshay84405 жыл бұрын
hello, you have done the wonderfull explanation. I loved it. and I am requesting you to do a video on assumptions made in linear regression. this will help us a lot.
@iktiar4 жыл бұрын
your method of teaching is awesome, thank you!
@statquest4 жыл бұрын
Thank you! :)
@ian_owuor2 жыл бұрын
Yes this is exactly what I've been looking for. Great video. It has made my life a lot easier.
@statquest2 жыл бұрын
Thanks!
@lucasbatista81695 жыл бұрын
Great video! It is admirable the effort you put on teaching... Just a suggestion: It would be great if you could put the link of the complementary videos you describe in each video. That way, it is easier to keep on track.
@statquest5 жыл бұрын
Thanks for the tip. I generally try to do that (add the links in the description), but sometimes I forget. If you have time, it would be great if you could post which videos need links to complementary videos in a comment and then I'll take care of the rest.
@TheSheekeyScienceShow3 жыл бұрын
I actually LOVE your video style!
@statquest3 жыл бұрын
Thank you! :)
@abhi90293 жыл бұрын
superb explanation, crystal clear with graphics is good way to comprehend. Thank you for this.
@statquest3 жыл бұрын
Hooray!
@AbhiJeevanantham11 ай бұрын
10 videos in I have started dancing to the song at the beginning.
@statquest11 ай бұрын
bam! :)
@MONAD_02 жыл бұрын
Hey josh, I absolutely love your explanations! It's given me a completely different perspective on how i think about machine learning and made the topics intuitive. I wonder if you can compile some notes for all of the content that can be reviewed in under a day and a mind-map that can be used to put all the pieces together. that would be really AWESOME!
@statquest2 жыл бұрын
Something like this? app.learney.me/maps/StatQuest
@dariakrupnova62452 жыл бұрын
Please do more of these, I think I will be able to pass my econometrics test thanks to you.
@statquest2 жыл бұрын
Good luck!
@maheshgopalakrishnan50724 жыл бұрын
Sir, your explanations are crystal clear. Thank you
@statquest4 жыл бұрын
Thank you! :)
@may40814 жыл бұрын
Simply explained...just makes it beautiful to watch! Thanks!! :-)
@statquest4 жыл бұрын
Thank you! :)
@kensarmoreto18633 жыл бұрын
Thank you for the vid. It was so easy to understand the concept of Least Square using visualization. I will use this as my reference for my demo teaching in stat. Hoping fore more stat videos and data analysis trick & tips...
@statquest3 жыл бұрын
Glad it was helpful!
@Hevletica2 жыл бұрын
Sorry for commenting several times throughout the series, but I would like to point out you should probably move this video + "Linear Regression, Clearly Explained!!!" before ROC/AUC in your ML playlist since you suggest understanding these basics beforehand.
@statquest2 жыл бұрын
Ok thanks!
@johnwilson39183 жыл бұрын
This is a brilliant video. You're a few minutes from explaining how to derive the LR formula. I seem to recall from my high school days - that you work out two partial derivatives (dSum/da - treating 'b' as a constant and then dSum/db treating 'a' as a constant) and equate these to 0 (to find minimum). You should be left with a couple of equations for intercept and slope.
@statquest3 жыл бұрын
That's exactly right (and I show how at least part of this works in my video on the Chain Rule kzbin.info/www/bejne/rZ2Unqyup9mEfrM ). However, what I don't like about the LR formula is that it only works in this specific situation. In contrast, Gradient Descent gives us pretty good parameter estimates and works in a million other situations. For more details on Gradient Descent, see: kzbin.info/www/bejne/qXXZZZlqqJeGeJo
@PunmasterSTP6 ай бұрын
Linear regression? More like "Liking these videos and I'm in heaven!" 👍
@statquest6 ай бұрын
Double bam!
@techproductowner3 жыл бұрын
Bro you are genius . it just sinks in the mind . .they way you are explaining , Kindly guide me with some youtube channel which explains other concepts related to math's like calculus etc. .in similar way . .or I request you to create them as well from prospective of DS
@statquest3 жыл бұрын
Thanks! Lots of other people like 3Blue1Brown for math.
@prasshanthvp10823 жыл бұрын
Finding optimal slope and intercepts is done by the machine, however we would need to tell the machine "how to do it" in order to get the values of intercept and slope. There are various ways to do this. If you are a comfortable programmer, you could write a function which changes slope and intercept for varying values, and pick the values which brings the least sum of squares errors . If you know certain optimization techniques like Gradient Descent, Stochastic Gradient Descent, you could ask the machine to use these algorithm and solve for intercept and slopes, where it uses the concept of slope of function being least or the "derivatives". If you know linear algebra and matrices really well, you could solve for intercept and slopes using Normal Equation. Note: I have used 'slopes' instead of 'slope', this means I am using many input variables, which you will find out more in future StatQuest videos. (Proud promotion of StatQuest videos!) For smaller data, it's not very important to know these concepts, since using any of them will bring us to the same values of intercept and slopes. When the complexity increases a.k.a millions of data and thousands of input variables, each optimization techniques may not arrive at same results. Also, you will have practical challenges and constraints like available time, speed, processing power, etc. In such cases, it might be useful to know (i) what are few optimization techniques, and (ii) when to apply each of them. Hurray!! you have reached to the end of this comment. Smash that like button to the videos and subscribe StatQuest. - Biggest fan of Josh and StatQuest.
@statquest3 жыл бұрын
bam
@ankuragarwala75582 жыл бұрын
Great video on least square method.
@statquest2 жыл бұрын
Thanks!
@RoRight7 жыл бұрын
Just the right amount of theory and math. You should consider teaching stat for students in health and biological studies.
@tseckwr3783 Жыл бұрын
Thanks for the video. It was a great refresher.
@statquest Жыл бұрын
Thanks!
@alhello_game_of_everything6 ай бұрын
Wowie kabawie wowie ZOWIE! Im still in highschool! And I understand most fundementals in the video!😊
@statquest6 ай бұрын
double bam!
@palakagrawal88562 жыл бұрын
The best explanation to date!
@statquest2 жыл бұрын
Thanks!
@amribrahim78503 жыл бұрын
You are an incredible teacher.
@statquest3 жыл бұрын
Thank you! :)
@angelmotta2 жыл бұрын
Thanks for this content!!! I am very happy to understand these concepts watching this awesome explanation!
@statquest2 жыл бұрын
Glad it was helpful!
@ayselceferzade85872 жыл бұрын
clearly explained! lots of thanks
@statquest2 жыл бұрын
Glad it was helpful!
@MiguelAngelMartinezFernandez4 жыл бұрын
Hi! First of all, congratulation for this awesome youtube channel. I was wondering if it would it be possible to re-upload this video in a higher quality? If I am not wrong, the max quality is 480p, which is not the best at these days. Thanks! Miguel
@statquest4 жыл бұрын
I'm glad you like the video! That's a good idea to upload a higher quality version.
@woodynani43944 жыл бұрын
Concise and precise, well done Sir.
@statquest4 жыл бұрын
Thank you! :)
@jeanlanz23448 ай бұрын
Great explanation. Thank you. God bless you!
@statquest8 ай бұрын
Thank you!
@mukossa46504 жыл бұрын
Thank you, this is great. Easy to understand
@statquest4 жыл бұрын
Thank you! :)
@MichaelKlimenko6 ай бұрын
Really good explanation, thank you !
@statquest6 ай бұрын
Thanks!
@christinagiannaros98172 жыл бұрын
When a clip about stats starts of with singing that makes you laugh before you start it's a very good thing.
@statquest2 жыл бұрын
bam!
@meysamamini94733 жыл бұрын
If software engineering world has uncle Bob, ML world has uncle Josh ! Hoorraay❤️!!
@statquest3 жыл бұрын
:)
@viethoalam99586 ай бұрын
each time i hear your song, i just laugh. you brighten my day!
@statquest6 ай бұрын
bam! :)
@mustafacakir__2 жыл бұрын
Your method of explanation is great. Please keep uploading tutorials. I would like to see tutorials about Deep Learning and Boosting (XGBoost, Catboost, etc.) algorithms which are popular lately. Thanks.
@statquest2 жыл бұрын
I already have videos on deep learning here: kzbin.info/www/bejne/eaKyl5xqZrGZetk and XGBoost here: kzbin.info/www/bejne/haWnaaqMlqugbKc All of my videos are organized here: app.learney.me/maps/StatQuest
@nikhilsetty34515 жыл бұрын
Great video.I love the way how intuitive your videos are! 👍🏻
@statquest5 жыл бұрын
Thank you! :)
@apopheniac42315 ай бұрын
Excellent video. Thank you!
@statquest5 ай бұрын
Glad it was helpful!
@19.sairoopesh102 ай бұрын
wow i finally understood why we have to take the derivative
@statquest2 ай бұрын
Bam! :)
@mohdaslam90922 жыл бұрын
Best explanation ever!
@statquest2 жыл бұрын
Wow, thanks!
@shamsulazhar2 жыл бұрын
Amazing clarity.... and I don't just mean the singing.
@statquest2 жыл бұрын
:)
@muksmart13 жыл бұрын
awesome explanation, best ever explanation, made it look so easy.....
@statquest3 жыл бұрын
Thanks!
@yourfriend9883 жыл бұрын
Now that's a good explanation.
@statquest3 жыл бұрын
Thanks!
@atanu_giri3 жыл бұрын
Subscribed under the influence of the comment section. Don't wanna loose it.
@statquest3 жыл бұрын
:)
@mostafa43215 жыл бұрын
Thank you, Can you put a video with actual Data and interpret that data based on the model with possible decisions to make based on the outcome. I believe this will bring us to a closer understanding of linear regression relative to decisions making especially for those who have limited knowledge of statistics.
@statquest5 жыл бұрын
I have a playlist of videos where I show how to do things in R. These are the "applied" videos where I go through a data set and show how it's handled and filtered and how the results are interpreted. Here is a link to the playlist: kzbin.info/aero/PLblh5JKOoLUJJpBNfk8_YadPwDTO2SCbx
@ajayravishankar77974 жыл бұрын
Pretty spot on. Happy I found this channel. I have a question. The distance between the line and a point, should'nt it be the perpendicular distance between the point and the line? I believe that is even more of an accurate model.
@statquest4 жыл бұрын
For regression we use the vertical distance between the data and the line in order to preserve the relationship that the variable on the x-axis is supposed to be predicting the variable on the y-axis. By measuring the vertical distance (instead of the perpendicular distance), we can measure how good or bad that prediction is.
@hardouthereforaph.d.25253 жыл бұрын
God bless you and these videos. These are so helpful