Multiple Linear Regression Using R

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  • Опубліковано 16 січ 2025

КОМЕНТАРІ • 71

  • @willykitheka7618
    @willykitheka7618 5 років тому +7

    How come it took me sooooo long to find you? You're A GREAT TEACHER! Thanks for taking the time to prepare this videos! G-D bless you!

  • @amarimu
    @amarimu 10 років тому +12

    this is the most simple and the best explanation about Multiple regression analysis

    • @mic2439
      @mic2439 4 роки тому

      Thank you.

  • @thies2us
    @thies2us 9 років тому +1

    Thank you. This is the most helpful video ever. I spent almost 2 hours on youtube looking for how to do what you just did.

  • @AsirAjmal
    @AsirAjmal 5 років тому +1

    Brilliant video man. Simply brilliant!

  • @aniketmhala7299
    @aniketmhala7299 6 років тому +1

    Thanks a lot. You explain the concept in very simple way. Extremely easy to understand it. Love your style, and your videos.

  • @mumtazbegum5852
    @mumtazbegum5852 10 років тому +8

    Thanks a lot for making statistics easy n fun. Love your videos.

  • @meshackamimo1945
    @meshackamimo1945 10 років тому +1

    This is what I call a natural born tutor...so easy to understand, and its just fun.
    God bless you.
    Do more videos in r...principal comp analysis,neural netwks and fuzzy logic, or win bugs will be really appreviated...all preferably in R

  • @jesperr8200
    @jesperr8200 10 років тому +2

    Love your videos! Easy to understand and well made, so please go on making videos. R videos, yes thank you.

  • @jasminestauffer7094
    @jasminestauffer7094 9 років тому +5

    Thanks for the help!
    I really liked your ending comment. Really made me laugh, which I needed while working on this frustrating final R project. So I subscribed, just cause :)

  • @emanuellebrito4393
    @emanuellebrito4393 7 років тому +1

    Excellent video. You get explain so easy. Congratulations!

  • @KhaliunEkhbayar
    @KhaliunEkhbayar 3 роки тому

    wow, it was so clear to understand. I will absolutely subscribe to your channel. Thank you so much!

  • @sepehrpiri2782
    @sepehrpiri2782 10 років тому

    This video was great. I love seeing people who can teach statistics in a clear and fun way.

    • @statisticsfun
      @statisticsfun  10 років тому +1

      Sepehr Piri Did you say fun as in statisticsfun :)

  • @claudioaugugliaro5577
    @claudioaugugliaro5577 6 років тому

    you have been GREAT! In a very simple way you explained everything clearly!

  • @matheus_maia
    @matheus_maia 6 років тому

    thaaaanks a lot!! I was stacking on that, but you explained of a way very very simple and easy to understand. keep doing that!
    From Brazil

  • @asmitajaiswal7840
    @asmitajaiswal7840 5 років тому

    clean and simple... good work man !

  • @arpitbhatnagar2154
    @arpitbhatnagar2154 7 років тому +1

    You are a great mentor!

  • @Katumili
    @Katumili 7 років тому

    Very cool and informative video! Helped me a lot wit homework assignment! Keep the good work going :)

  • @samuelwang3950
    @samuelwang3950 5 років тому +1

    Thank you so much for saving my life !!!

  • @palomamontes1973
    @palomamontes1973 4 роки тому

    Greetings from Colombia, thank you

  • @Gargaslicer
    @Gargaslicer 10 років тому

    Really clear and easy to follow. Thank you!

  • @gyaneshwarmishra3413
    @gyaneshwarmishra3413 4 роки тому

    It's a humble request to you to upload more videos on statistics using R and python... your teaching way has been extremely plausible...Thank you

  • @benrafter7902
    @benrafter7902 4 роки тому

    You explained this way better than any of my professors.

  • @lubersonjoseph5700
    @lubersonjoseph5700 5 років тому

    How do you choose your dependent variables before doing your regression analysis.

  • @HeatherRoseMusician
    @HeatherRoseMusician 6 років тому

    Great explanation! Thanks for posting!

  • @kaiorafael429
    @kaiorafael429 10 років тому

    you have got a new subscriber! Thanks buddy.

  • @JuanHernandez-pf6yg
    @JuanHernandez-pf6yg 5 років тому

    Very well explained. Thank you!

  • @ArmyOfOne1996
    @ArmyOfOne1996 5 років тому

    In what instance would you use the adjusted R-squared instead of the multiple r-squared?

  • @pranesek
    @pranesek 6 років тому

    Love that video. Thanks!

  • @lucasallori
    @lucasallori 8 років тому

    This was really easy to understand, thank you

  • @sticq
    @sticq 9 років тому

    Thanks for your videos. How do you calculate Beta 0 ? Is there a formula ?

  • @ssatyal1892
    @ssatyal1892 8 років тому

    Okay, so I have a dataset with over 1000 responses across five Independent variables. How do I select all five columns as IV and the one column as as the DV?

  • @sabelomadondo5859
    @sabelomadondo5859 6 років тому

    Thanks, explained very well!

  • @tommyedwards2932
    @tommyedwards2932 2 роки тому

    The links to the R codes does not work, they go to a page with error 404 page not found. This would be great if the link was fixed. Thanks!

  • @erenyabousaif9408
    @erenyabousaif9408 2 роки тому

    You are a great teacher; if you don't mind, can you explain more about Rstudio? Such as, When they give us the number of coefficients, what does it mean? Is this effect significant, and alpha, please?

  • @dummybert
    @dummybert 5 років тому

    Hi! I'm afraid the links for the code and dataset are broken

    • @dummybert
      @dummybert 5 років тому

      Forget my comment, the dataset and code is that short that can be typed easily. Great work, thanks!

  • @shoi2004
    @shoi2004 5 років тому

    Thank you, it is really helpful

  • @arczi3475
    @arczi3475 5 років тому

    Thanks a lot for explanation! It helped me with my project ;)

  • @ramkrushnpatel8118
    @ramkrushnpatel8118 10 років тому

    I love your all videos, in fact I have already watched all the video on statistic. I have one request. would you prepare video on advance statistic methods.? such as cluster analysis, eof analysis etc. I would be very useful for us.. Thank you.

    • @statisticsfun
      @statisticsfun  10 років тому

      Ramkrushn Patel Thanks for the suggestion and yes I do plan to add some of the topics in the near future.

  • @Annekeshavira
    @Annekeshavira 4 роки тому

    grades is dependent variable ? its flippped, at first you said grade is dependent, but in program is independent, please correct me if Im wrong, need solve :')

  • @sandhubals
    @sandhubals 5 років тому

    Well explained!

  • @michaelkorleone6137
    @michaelkorleone6137 9 місяців тому

    Tell me please how to do it with glm and GLM_summary (BruceR)?

  • @poojamahesh8594
    @poojamahesh8594 3 роки тому

    i need to find percentage error between actual and predicted value ..please tell me how to get it..please

  • @bettys7298
    @bettys7298 5 років тому

    Hello. Thanks for the video. It's helpful. One question: how to calculate the p-value 8.724e-05 to get the result that 0.00008724? Thank you!

  • @sivaiahborra1075
    @sivaiahborra1075 6 років тому

    Sir, Please do mention the solving mathematical equations regarding multiple regression with one example to do manually

  • @surendraar5636
    @surendraar5636 5 років тому

    Sir please help me the R value is 0 .965 where it is in the summary , how to find ?

  • @harshitatiwari9619
    @harshitatiwari9619 5 років тому

    The codes below are not opening ..... How to open the codes so that i can practise!!!

  • @augustineigboke5688
    @augustineigboke5688 2 роки тому

    I can't open the link. I'm getting a 404 error message on my screen. Please guide me on how to overcome this because I can't miss out on this great lesson. Thank you.

  • @Nitz_d_blitz
    @Nitz_d_blitz 5 років тому

    what if we need to provide weightage to each of the independent Variable

  • @alamriku7309
    @alamriku7309 6 років тому

    In R studio Absence and SAT_score are dependent but in 2.44 of your tutorial interval Absence and SAR_SCRORE are
    independent.

  • @nipundulitha4574
    @nipundulitha4574 4 роки тому

    Thank you !!!

  • @kellyfoster3630
    @kellyfoster3630 9 років тому

    Wish the internet was around when I was in college the first time!! Had the worst stats teacher ever. And had the class at 8am. I was miserable ; (
    This makes much more sense in my second go around of college classes.
    THANKS!

    • @statisticsfun
      @statisticsfun  9 років тому +1

      Kelly Foster Great to hear. Sometimes I am glad the internet was not around when I was in college because there are not Facebook posts with photographs of all the silly things I did. People like you are my exact target audience and I am appreciative you took the time to write me and let me know my videos are helpful. I do have channels on Economics (www.UA-cam.Com/Economicsfun), Calculus and Algebra too.
      Good luck in your studies. Btw, what is your degree this time around?

  • @Destinipetitt1992
    @Destinipetitt1992 5 років тому

    Good stuff!

  • @ragnulf_gamer3278
    @ragnulf_gamer3278 3 роки тому

    Wonderful!

  • @dennysaloon
    @dennysaloon 6 років тому

    very useful, thank a lot

  • @brianstronginjapan
    @brianstronginjapan 10 років тому +3

    love it

  • @bobbysharp2434
    @bobbysharp2434 6 років тому

    Perfect video

  • @someoneridesmountainbikes2355
    @someoneridesmountainbikes2355 6 років тому

    Life saver!

  • @getinettafesetucho7999
    @getinettafesetucho7999 6 років тому

    Shorter but golden, tnx!

  • @dr.mayankpant1571
    @dr.mayankpant1571 4 роки тому

    you are too good

  • @nikhilmuthukrishnan7222
    @nikhilmuthukrishnan7222 7 років тому

    im a fan!

  • @videoofgod7681
    @videoofgod7681 7 років тому

    Thank you

  • @tibabalaseo2046
    @tibabalaseo2046 6 років тому

    thanks!

  • @jenn4593
    @jenn4593 7 років тому

    That is a link is to understanding SPSS output. But I wanted to understand R output--not SPSS.

  • @vicb5118
    @vicb5118 4 роки тому

    U funny XD I love it

  • @ultralooter
    @ultralooter 5 років тому

    Couldn't be clearer.

  • @knowprabhath
    @knowprabhath 5 років тому

    explained very well, thank you!