Statistics 101: Multiple Linear Regression, The Very Basics 📈

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  • Опубликовано: 2 окт 2024

Комментарии • 480

  • @boyomab
    @boyomab 5 месяцев назад +2

    9 years later and your videos are still saving lives 🙂. I was almost losing my mind but you just made it look like Statistics is not bad after all. Thank you Brandon 🙂

  • @navghimire6377
    @navghimire6377 8 лет назад +375

    Your teaching is slow, steady, and with examples from real world. It is easy to understand and use in day to day school work or research work. They are interesting to watch without any disruption. Thank you for putting these videos in the YOU TUBE. I have gone through several of your statistics videos and these are the best videos in statistics out there. I recommend students and professors to watch these video in statistics than other videos.

  • @ellaluzpicavet
    @ellaluzpicavet 4 года назад +333

    I am only 3 minutes in and you've already helped me more than my stats teacher can in 2 hours

  • @brettruss3359
    @brettruss3359 4 года назад +130

    Brandon, I watched all your video playlist on simple linear regression, multiple linear regression, and ANOVA. I took my final for my college class STA3032 Statistics for engineers and scientist and I got a freaking 95%! This was by far my highest score and I really feel that your quality content was a huge part in my success. Thank you very much for being amazing.

    • @BrandonFoltz
      @BrandonFoltz  4 года назад +26

      Hi Brett! Thank you so much for your kind words. 🙏 I appreciate you taking the time to watch. That being said my friend YOU did all the hard work. Please treat yourself so something nice! Great job! 👊💪

  • @Iron-Bridge
    @Iron-Bridge 6 лет назад +4

    I'm a graduate student and your video tutorials are very helpful. I like your presentation approach when breaking down a complex subject like statistics. You're a very talented instructor and obviously know your subject well. Deserves more subscribers. Cheers.

  • @catxat
    @catxat 2 года назад

    This is by far the most clear explanation on multiple regression i've ever encountered - thank you for this video

  • @farhimouad2860
    @farhimouad2860 8 лет назад +1

    I followed all your courses from pl1 to pl14. thank you. I'm now ready to learn econometrics on new and solid basics. again thanks a lot

  • @jamesmkandawire6196
    @jamesmkandawire6196 7 лет назад +186

    If the World had lots of people like you we would be living in heaven right here

    • @BrandonFoltz
      @BrandonFoltz  7 лет назад +10

      Heaven goes to the learners! But thank you for putting in a good word :D

  • @mohammedalsubaie3512
    @mohammedalsubaie3512 2 года назад

    153 dislikes? In statistics they are insignificant and not worth it. You are the best. I wish I knew you channel before. I shared it with all my classmates.

  • @elenikoulouvatos3
    @elenikoulouvatos3 10 месяцев назад

    Finally, videos that actually help and make you want to learn. thanks!!!

  • @TheDudimus
    @TheDudimus 8 лет назад

    This is just what I needed. Explains it better than my stats book ever could.

  • @judymuturi4505
    @judymuturi4505 9 месяцев назад

    You're an excellent teacher. I got great overview of multiple regression models in just a few minutes.

  • @vickydut132
    @vickydut132 6 лет назад

    you are simply gifted with the simple, most comprehensive method of teaching and interpretation. Thank you so much for what you do. You have helped so much in such little time. I have only watched two videos so far and I was able to learn so much that I couldn't learn during the lectures in the last 10 weeks. The world needs more people like you.
    God bless you always.

  • @khaledsalfeeh6168
    @khaledsalfeeh6168 5 лет назад +2

    You sir .. are a legend in teaching, you would make an excellent professor 👍

  • @pavitramehta1
    @pavitramehta1 3 года назад

    I am so glad that I came across this video and this channel!

  • @vanesazanzif
    @vanesazanzif 8 лет назад

    OMG! Amazing how you can explain something that I found a challange to understand SO EASY and clearly. Perhaps I will be able to nail my exam tomorrow!! THANK YOU SO MUCH!!!!

  • @ragsp00123
    @ragsp00123 9 лет назад

    This is a fantastic explanation and very detailed and the way it has been explained was like a cakewalk

  • @BrandonFoltz
    @BrandonFoltz  9 лет назад +125

    My latest Statistics 101 video is now up and running on RUclips just in time for finals. :) Feel free to share. Thanks for watching!

    • @MyExperimentswith_life
      @MyExperimentswith_life 9 лет назад +21

      you are awesome man ,no one can expect better explanation than this.. Hats off .

    • @sunny2020100
      @sunny2020100 8 лет назад

      +Brandon Foltz Thanks a lot!

    • @mollymillions_anon_greatness
      @mollymillions_anon_greatness 6 лет назад

      The error term isn't assumed to be 0, the expected value of the error term is 0!

    • @erikavadopalas2309
      @erikavadopalas2309 6 лет назад

      Thank you, your videos are very helpful. You explain concepts clearly, much appreciated.

    • @laihongyuan3680
      @laihongyuan3680 5 лет назад

      Hi, would you please make a video for heteroskedasticity? how to detect it and correct etc.. My lecturer sucks..

  • @carlarampichini4585
    @carlarampichini4585 6 лет назад

    Thanks Brandon for share this!
    Very well done!

  • @neo-qn1vs
    @neo-qn1vs 6 лет назад +4

    Hi brandon...... statistics earlier made no sense to me......and being a doctor we need to learn biostatistics ....but now its really easy...ur videos are a great help....keep it up...
    Can u upload a video about discriminant analysis and principal component analysis....?

  • @Angell-ir5xj
    @Angell-ir5xj Год назад

    I am doing a MA in psychology and although stats were not my forte, I decided to do my Empirical Project with quant research. I was super confused about multiple regression and this video made things so much clearer. Ready to binge your whole MLR playlist!

  • @ArtNoob-Elaine
    @ArtNoob-Elaine 4 года назад

    Teaching slides are neatly made. Thank you for your time and patience devoted to making the materials.

  • @gastruperstrasse
    @gastruperstrasse 9 лет назад +41

    Thanks a lot for your videos - they are absolutely helpful! For me they helped me through statistics from the very beginning. I really appreciate that you do all this for the *struggelers* around the world for free ... Thank you so very much!

  • @lisegrigsbys8488
    @lisegrigsbys8488 8 лет назад +38

    I appreciate your videos so much, because I have been near tears trying to understand this stuff

  • @oliviaschiltz9620
    @oliviaschiltz9620 3 года назад

    I finally managed to understand this topic. Thank you so much for making it accessible to everyone.

  • @whycantwebefriends9178
    @whycantwebefriends9178 Год назад

    Dude this is GOLD. Seriously. I love this videos.

  • @QueenGremlin
    @QueenGremlin 3 года назад +1

    I just had my brain fried by another video about regression, and then i found yours. Thank you for making this stuff more understandable xD

  • @sanketbuddhiwant3309
    @sanketbuddhiwant3309 9 лет назад

    Hi Sir, Hats off to you for your teaching, watching your videos on statistics boosts my confidence.
    Thanks a ton !!!!

  • @aomprakashsubudhi7026
    @aomprakashsubudhi7026 5 лет назад +2

    Thanks man, all of your videos are very informative and the way you teach is simply amazing. I study at the IIT, but man my prof is nothing in comparison to you in terms of teaching.

  • @speakwithtony
    @speakwithtony 8 лет назад

    You have an amazing way of making complex things come out simple. Thank you

  • @morpheus7144
    @morpheus7144 4 года назад

    THANK YOU!! Oh man, you don't know how happy I am to FINALLY come across someone like you in this field. I don't know what it is about statistics that draws such dry teachers who just want to dump jargon on your lap, since I think these concepts really interesting once you actually UNDERSTAND it. I've been trawling through the interwebs to find someone like you, so thank you for existing and putting these out here (and for free!) to demystify and make something so fundamental to our understanding of the world (extremely relevant in these pandemic times) accessible to us masses :). Now I can actually understand what the heck I'm doing with my Masters project.
    Is there a way to support your work?

  • @LifeUnscripted89
    @LifeUnscripted89 8 лет назад

    Before starting watching, I was thinking how would I stay for 20 minutes with this boring topic as I hate statistics (as this is my minor)!. But now I am feeling like its just as easy as eating or sleeping.....Thumbs up sir! You are gifted with amazing teaching skills. I just can not express my feelings about how much I am going to love your teaching.....go ahead boss.........

  • @rameshc5302
    @rameshc5302 3 года назад

    Very nicely explained and delivered to the T. Great job Brandon !

  • @唐天宇-p6z
    @唐天宇-p6z 6 лет назад

    Thank you for explaining everything so clearly and logically!!! Thank you so much!

  • @kathz153
    @kathz153 8 лет назад

    Love your video, Hope to see more!!PLEASE!

  • @kkokonadggupta390
    @kkokonadggupta390 4 месяца назад +2

    Hello Sir, I'm a student ; I wanted to know if there any scope/way to do project-type work under your assistance??

  • @heavenlybmx182
    @heavenlybmx182 7 лет назад

    thank you brandon! this is extremely well explained/presented and the practical examples are superb

  • @bitterboy695
    @bitterboy695 5 лет назад +14

    Man you don't know how many lives you're saving. I am extremely grateful for you thank you 🙏

  • @zalida100
    @zalida100 9 лет назад +2

    Nicely paced and clear etc - enjoyable - thanks v much.

  • @hassanbenjamin1765
    @hassanbenjamin1765 2 года назад

    You're really great sir, you have helped... Continue with this🙏🙏

  • @robertc2121
    @robertc2121 7 лет назад

    Thanks Brandon, This is so accessible!!! a massive help

  • @pratibhasharma8457
    @pratibhasharma8457 5 лет назад

    Thank you so much sir from the core of my heart....... You are a saviour

  • @wienerle7991
    @wienerle7991 5 месяцев назад

    this is insanely good. even after 9 years...

  • @blancmangercoco
    @blancmangercoco 9 лет назад +11

    Thank you so much Brandon. I had started considering dropping from my quantitative research methods class. After discovering these videos I have become once again hopeful.
    When you have good teacher there are not difficult subjects :-)

  • @jambo8811664
    @jambo8811664 3 года назад +10

    after a lot of nervous breakdowns about regressions, finally someone really knows how to explain it. Can't thank you enough.

  • @mangaart3366
    @mangaart3366 3 года назад

    Amazing introduction, thank you!

  • @hannairisvapaus4158
    @hannairisvapaus4158 6 лет назад

    very clear and easy explained!

  • @ishiitapal
    @ishiitapal 4 года назад

    thankyou very much for clearing the concepts.

  • @agadaluke2011
    @agadaluke2011 6 лет назад

    Great work! Thank you

  • @JackIsNotInTheBox
    @JackIsNotInTheBox 4 года назад

    The diagrams are SOOO helpful! In my textbook, they only use words to describe the relationships instead of actually drawing it so it is so confusing to visualize.

  • @nikkimiller675
    @nikkimiller675 9 лет назад +1

    This video was very informative. Thank you so much!!

  • @milicamiric4221
    @milicamiric4221 7 лет назад

    Great work! your video was really clear, and absolutely helpfull. thank you very much for sharing the knowledge and creating this video! Wish you all the best!! :)

  • @bsseelan
    @bsseelan 8 лет назад

    Awesome explanation. Thanks a lot !

  • @jayagawai771
    @jayagawai771 5 лет назад

    Good presentation and easy to understand

  • @shreshthasarkar991
    @shreshthasarkar991 5 лет назад

    Thanks super loads. Understanding everything clearly.

  • @abingobenard7685
    @abingobenard7685 5 лет назад +1

    Thank you so much. This is wonderful presentation.

  • @st093076
    @st093076 6 лет назад +6

    Thanks a lot!!!!感激不盡!!

  • @sonusharma9494
    @sonusharma9494 2 года назад

    Hi Brandon, thank you for crisp and clear explanation , I would need Bayesian regression , could you please make a video on this confusing concept ,, thank you so much in advance.

  • @senay1996
    @senay1996 8 лет назад +5

    Great Job!
    Everything is easy to understand eventhough i´m not studying in an english speaking country
    Maybe you should come over to teach my prof how to explain

  • @rastaha
    @rastaha 5 лет назад

    Great explanation

  • @sardorabdirayimov
    @sardorabdirayimov 2 года назад

    Thank you, Brandon for the video. Everything is clear except **overfitting** term. I thought that Overfitting is performing poorly for the unseen data.

    • @BrandonFoltz
      @BrandonFoltz  2 года назад

      Hello! In an ML context, yes. In a regression building context it means adding variables to the model that have diminishing returns with respect to taking up additional sum of squares. They are related, but a slightly different concept. Hope that helps!

  • @macmillanjere4473
    @macmillanjere4473 4 года назад

    Lovely, laconic and clear.

  • @MioloMiodeli
    @MioloMiodeli 6 лет назад

    Dear Brandon foltz,
    God job! Thanks!
    In the last example given, is it right to conclude that given the regression results would be better to invest in marketing that in the capital investment?

    • @MioloMiodeli
      @MioloMiodeli 6 лет назад

      But in the case that the two variables have different unities? I work on marine biology, lets say that the independ vairables are temperature and salinity (different unities), still the higher coefficient can be considered as the variable most influencing the dependent variable?
      Thanks for you help!!

  • @genoaocchipinti8910
    @genoaocchipinti8910 9 лет назад +10

    I've shared these videos with my classmates. I love the visuals and explanations of how to look at these models and think about this type of variability. Thanks for your expertise!

  • @olayinkalawal223
    @olayinkalawal223 9 лет назад +5

    Nice video,please try to make a link to the next video at the end every video so that way it will be easy to continue...you are the best Brandon. The salt example was perfect, it gave me a better understanding of what multicollinearity is and even if i forget the name or i cant pronounce it very well, i perfectly understand the concept...Thank you so much

  • @sarahalamoudi487
    @sarahalamoudi487 7 лет назад +2

    Thank you so much, this was extremely helpful, God bless you

  • @jisen324
    @jisen324 6 лет назад

    Thank you. Just THANK YOU.

  • @corinneblair8795
    @corinneblair8795 5 месяцев назад

    Excellent!! Thank You!!

  • @leajimvillanueva1215
    @leajimvillanueva1215 8 лет назад +9

    amazing way of explaining something that has my brains bleeding out of my nose and ears for sometime now. thank you very much for taking time to do this video bradon

  • @mirandadechamplain4008
    @mirandadechamplain4008 6 лет назад

    This is awesome! Thank you

  • @mhmdsaadd
    @mhmdsaadd 3 года назад

    Excellent and Many thanks

  • @globalmacro2817
    @globalmacro2817 9 лет назад +5

    Holee SHeet 1066 likes and no dislikes? must be some real good stuff!

  • @francophile92
    @francophile92 8 лет назад +8

    I don't know about you, but I find your voice changed here ( more deeper) compared to the simple regression vidéo a year before.

    • @BrandonFoltz
      @BrandonFoltz  8 лет назад +35

      +francophile92 Perceptive! I was able to use the donations I received from viewers to purchase a better microphone (EV RE20) so my voice sounds better / deeper / fuller with the professional mic.

  • @gat2871
    @gat2871 4 года назад

    Beatiful! Thank you very much

  • @chamilasumathiratna4182
    @chamilasumathiratna4182 9 месяцев назад

    well explained!. Thanks a lot

  • @simplemind7
    @simplemind7 4 года назад

    Thank you, you just solved the missing link to my trading FX system.

  • @sisvssis9941
    @sisvssis9941 7 лет назад

    very well delivered.

  • @stutijuneja8440
    @stutijuneja8440 5 лет назад

    Your videos are very helpful and easy to understand. Thank you so much for putting up these videos. I have one question though, why do we assume the error term to be 0 in multiple regression model?

  • @chillpillgamer4980
    @chillpillgamer4980 3 года назад

    i cant thank u sir for this amazing video

  • @asanmpunga4345
    @asanmpunga4345 4 года назад

    Very helpful, thank you a lot

  • @deynerfranciscolezcano5586
    @deynerfranciscolezcano5586 7 лет назад

    excellent videos!, thanks a lot!. One question tho, in the example in 20:25, what interpretation "27" might have. Thanks!!

  • @Gemma0787
    @Gemma0787 8 лет назад

    thanks for making these videos

  • @goldameirmarobe1765
    @goldameirmarobe1765 3 года назад

    very helpful and thank you a lot

  • @willjohnson846
    @willjohnson846 3 года назад +1

    Graphical-Databases would be great for Multi-Linear Regression..

  • @andreamcpherson6409
    @andreamcpherson6409 3 года назад

    Excellent!

  • @Mgilsy
    @Mgilsy 7 лет назад

    Dear Brandon.
    Thank you very much for your videos.
    I have one question though; what do you mean when you say that an independent variable is "held constant"? It makes somewhat sense intuitively, i.e. the relationship between this independent variable the dependent variable is "weeded out", when looking at another independent variable's relationship with the dependent variable. However, I am not sure what "held constant" means mathematically? I have had several teachers in statistics who have had use the words "held constant", but I actually do not know what these words mean mathematically. However, I do understand what they generally mean in the interpretation of multiple linear regression model (as you also explain in this video), i.e. in an applied statistics sense.
    Thank you.

    • @Mgilsy
      @Mgilsy 7 лет назад

      Dear Brandon. I hope you get to see the entirety of mye comment :)

  • @flloyd
    @flloyd 8 лет назад +1

    great course

  • @edenioolivaresdiaz4540
    @edenioolivaresdiaz4540 9 лет назад +2

    As usual in your videos, these videos relate to Multiple regression are MAGNIFICIENTS, I am not a native English speaker but your explanation and the way that you speak look like I am listening in my native language!!!
    Thanks for helping us!!!
    Really appreciate it!!!!

  • @sanfran224
    @sanfran224 9 лет назад

    Best explanation. neat slides, clear voice, logical order.. !0/10

  • @grcfrank
    @grcfrank 4 года назад

    Now if I could only find the other two hours and forty minutes of this professors video...

  • @MdRoman-ve8gc
    @MdRoman-ve8gc 4 года назад

    Dear Sir, I'm very glad to get your tutorial. My concept full clear on Multiple linear regression. Can I get your all of Presentation files which make on Multiple Regression.

    • @BrandonFoltz
      @BrandonFoltz  4 года назад

      Hello! You can get the PDF Video Companion here: www.bcfoltz.com/blog

    • @MdRoman-ve8gc
      @MdRoman-ve8gc 4 года назад

      It’s paid. I don’t have enough money to buy it right now.

    • @BrandonFoltz
      @BrandonFoltz  4 года назад

      @@MdRoman-ve8gc I understand. :) The videos are here for free of course.

  • @adeyemi4182
    @adeyemi4182 Год назад

    great. would like to see you writing code for the multiple linear regression

    • @BrandonFoltz
      @BrandonFoltz  Год назад

      R and Python make multiple regression very easy. In R, nothing really changes in the lm() function except adding more variables on the right side.

  • @kcallwein6551
    @kcallwein6551 2 года назад +3

    Brandon, every time I feel overwhelmed when trying to conduct tests in SPSS and analyze the results I go back to your videos for support. I have lots of good textbooks but there is no one who can hold a candle to you when it comes to explaining stats and statistical procedures in a clear, simple and above all encouraging way. THANK YOU!

  • @vijaybharadwajsrisankar5038
    @vijaybharadwajsrisankar5038 8 лет назад +2

    Thank you Brandon, it was simply explained, and provided good understanding. I am from the med stats direction. I find this very useful.

  • @AeromanAaron
    @AeromanAaron 6 лет назад +8

    Best Instructor ever!

  • @Mpuse_cooks
    @Mpuse_cooks 9 лет назад

    Thank you so much for this :)

  • @ccuuttww
    @ccuuttww 7 лет назад

    it is like caculas it is all about rate of changing

  • @russellkemmit73
    @russellkemmit73 4 года назад

    Have you though about making a small course on Back-propagation?

  • @jakethai5608
    @jakethai5608 11 месяцев назад

    Thank you.

  • @harshgautam4066
    @harshgautam4066 3 года назад

    In your example about interpreting the coefficients, doesn't $1000 increase in capital investment will generate $36,000 of sales? or we keep the intercept constant as well?