WHAT ARE LOGIT MODELS?? (Logistic models)

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  • čas přidán 5. 09. 2024
  • All my stats videos are found here: www.zstatistics...
    See the whole regression series here:
    • Regression series (10 ...
    To download the jaybob.csv dataset, head over to the website above, I'll upload the data (and associated model worksheet) to the video page.

Komentáře • 107

  • @daGTK
    @daGTK Před 6 lety +88

    It takes a lot of effort and subject knowledge to keeps things simple. Thank you @zedstatistics for doing do :)

    • @ammar46
      @ammar46 Před 2 lety +1

      Hey! How do you convert percentage into binary?

  • @tawqeernabi6935
    @tawqeernabi6935 Před 2 měsíci +1

    i dont know what you are going through right now (since you are not active on this channel anymore) but i want to say this YOU ARE ONE OF A KIND in all youtube. its been 3 years since i got to know about this channel and i keep coming back everytime i need to brush up my concepts

  • @alxndrdg8
    @alxndrdg8 Před 5 lety +19

    superb! I wish you were my teacher back in school. i have nothing to do with statistics now but still I have come this far, to 4th part of your video, because of your explanation. They just kept me interested. Awesome! Please keep making such videos.
    Believe me, not many students understand stats and not many teachers know how to teach stats. The way you teach is absolutely good and practically understandable. Thank you so much!

    • @ammar46
      @ammar46 Před 2 lety +1

      Hey! How do you convert percentage into binary output?

    • @alxndrdg8
      @alxndrdg8 Před 2 lety +2

      @@ammar46 step-1: first have the percentage ready in decimal format (e.g. 45.8%)
      step-2: if you are using any programming language it will have a built-in function to convert decimal no. to binary no.
      step-3: if you are writing a function yourself you need to understand how the left part of decimal is converted to binary and how the right part of decimal is converted to binary.
      You can find this converstion math in any computer logic text book or video. Write your function accordingly.

  • @MrAmit4050
    @MrAmit4050 Před 3 lety +2

    Thank you Zed Statistics! I am really fascinated about how in depth you go about any topic and moreover make it simple for audience to understand, you are a real teacher...hats off!!!!

  • @ContessaCavalier
    @ContessaCavalier Před 3 lety

    The best 18:24 minutes spent on stats this year. Amazing! 17:18 to understand OR 4.73 gasp!!!

  • @Miklo111
    @Miklo111 Před 6 lety +4

    Hey mate! Just dropping by to thank you. Thanks to you I passed this crazy test at school. You are a true hero!

  • @malathymunusamy7703
    @malathymunusamy7703 Před 4 lety +9

    Hi, at the time 11:14 , you mentioned, for a $1000 increase in price, the odds of selling a car decreases by 16%, while exp(-0.1730) is 0.84 which is 84%. Could you please explain

    • @zedstatistics
      @zedstatistics  Před 4 lety +24

      84% actually means a 16% reduction! If my weight this year is 84% of my weight last year, then I have achieved a 16% weight reduction (100%-84%). Hope that helps

    • @abdouljabbar4656
      @abdouljabbar4656 Před 3 lety +1

      Maybe a mathematically more intuitive explanation
      Ln (p/1-p)= 0.396-0.173 (price)+1.555 (PS), then (p/1-p)= e^(0.396-0.173[price]+1.555[PS]) which can be rewrite p/1-p= e^0.396 x e^-173 (price) x e^1.555 (PS), hence the multiplicative effect of e^-173 or 0.84 on the odd of selling the car (p/1-p) with 1 extra unit of the price. Since this model is already presented in the context of post-hypothesis testing (remember the coefficient for the price in the model has a p value

    • @devikasha
      @devikasha Před rokem

      @@zedstatistics Thanks! I had the same question, so glad you had replied to this and that I scrolled down comments to check :)

  • @izb1275
    @izb1275 Před 5 měsíci

    Thanks for sharing it helps me a lot in learning logistic regression for my coming exam

  • @JoshuaDHarvey
    @JoshuaDHarvey Před 3 lety +3

    @15:05 where does 4.23 as denominator come from?

    • @ssandok
      @ssandok Před 3 lety +5

      The line about it has (P+3.23P) on the left side. Factor out the "P" and you have P(1+3.23). So that's 4.23P on the left side. Then you're wanting to get P by itself, so divide by 4.23.

    • @JoshuaDHarvey
      @JoshuaDHarvey Před 3 lety +4

      @@ssandok thank you Scott! I really appreciate you taking the time to explain that

  • @christophmichel9496
    @christophmichel9496 Před rokem +1

    I said that once in the past but I need to say it again ... your videos are just so valuable. I feel like I am getting university level information for free, it is actually to good to be true. I went to university so I have something to compare with, though it may be that my comparison is a particularly bad example ... I can't tell 🙂

  • @senuriperera9965
    @senuriperera9965 Před 6 měsíci

    One and only video which can understand very easily in the u tube about logit models ❤

  • @linh123ful
    @linh123ful Před 4 lety +1

    just want to say a big thank you, thanks to your video I have aced all my courses and received a scholarship :) I'm so happy!

    • @PunmasterSTP
      @PunmasterSTP Před 2 lety

      That's really great to hear! How have your studies been going?

  • @enzopassarini2072
    @enzopassarini2072 Před 2 lety +1

    i've recently found your channel, and I can't describe how well and using simple terms you describe some confusing concepts. thanks a lot!

  • @diyaunarker7471
    @diyaunarker7471 Před rokem

    SUPERB! i have never come across such amazing, informative and on point videos on stats! you are truly talented, thankyou for sharing! please keep the videos coming

  • @PunmasterSTP
    @PunmasterSTP Před 2 lety

    Oh man, what were the ODDS that I'd come across your videos? 😎
    But in all seriousness, your channel is amazing. Thanks for making and sharing everything!

  • @MaiNonoMati
    @MaiNonoMati Před rokem

    You are a genius, you have managed to solve all my statistical headaches with this series. Thank you so much!!

  • @vanessaspatty
    @vanessaspatty Před 2 lety

    Thanks zed!!! Ur explanation is far more clearer than my expensive uni 😂. Top notch 👌👌👌

  • @yutassmilehealsme6572
    @yutassmilehealsme6572 Před 4 lety +1

    You explain this so well I understand now, my teacher didn’t really explain it 😓 you saved my grade for my stats unit cheers mate

  • @johnmcnulty16
    @johnmcnulty16 Před 5 lety +1

    Explained with such simplicity and intuitiveness. Cheers to you zedstatistics!

  • @kirangrover2938
    @kirangrover2938 Před 3 lety +3

    Your videos are super helpful!
    Can you do a video on dummy variables, effect coding, and ordinal logistic regression?

  • @karannchew2534
    @karannchew2534 Před 2 lety

    10:15
    Odd Ratio = Multiplicative effect of one extra unit of X on the Odd of Y.
    If price increase by 1k, odd of selling car will be 0.84x.

  • @user-mu7zb6op7r
    @user-mu7zb6op7r Před 5 měsíci

    Your videos are superr helpful. Its been 6 years since you uploaded this video, but just wondering. Could you make a video on ordinal logistic regression? I have found very limited videos that explain it appropriately.

  • @siishasha2176
    @siishasha2176 Před 5 lety +3

    Thanks so much for making all these amazing videos! They are so helpful, and please continue making them! Looking forward to seeing your videos on logs!!

    • @ammar46
      @ammar46 Před 2 lety +1

      Hey! How do you convert percentage into binary output?

  • @navedalam9333
    @navedalam9333 Před rokem

    Dare I say, better than even StatQuest!

  • @tyman1449
    @tyman1449 Před 4 lety +1

    It was the best explanation of the Logistic regression.
    Thank you

  • @rhishikeshjoshi6806
    @rhishikeshjoshi6806 Před 4 lety +2

    Amazing course. Highly recommended!!

  • @afterschool_blacklistracer

    thanks man, you gave me +A for my econometrics module

  • @gemmay2k974
    @gemmay2k974 Před 2 lety

    Absolutely excellent. Best explanation of this I've found.

  • @svkn6785
    @svkn6785 Před 3 lety +4

    Great stuff. do you have any videos explaining interactions (categorical and continuous independent variables) and their interpretation?

  • @user-fx1hs8qr6h
    @user-fx1hs8qr6h Před 4 měsíci

    Helped me a lot, thank you so much for your great content! :)

  • @existentialrap521
    @existentialrap521 Před rokem +1

    Yoyoyoyoyoyoyoyoyo Mr Statistics in the HOOOOOUSE. Ty sir. We out here, regressing, estimating, LIVIN’. 🇲🇽🇲🇽🇲🇽

  • @siddhft3001
    @siddhft3001 Před 3 lety +1

    Great! The exercise at the end made it all clear. Thank you!

  • @connornelson450
    @connornelson450 Před rokem

    just helped me write my program evaluation thanks bro

  • @henriknordahl3566
    @henriknordahl3566 Před 6 lety +1

    Thank you so much for the explanations!
    I have an exam project I need to hand in in 7 weeks time and I've learned a lot from your previous videos. Crossing my fingers that you'll have the fifth video out soon :o)
    Greatings from Denmark

    • @PunmasterSTP
      @PunmasterSTP Před 2 lety

      Hey I know it's been years, but I was curious. How did that exam project go?

  • @electriclungi3185
    @electriclungi3185 Před 6 měsíci

    insanely good video

  • @rebeccatorti7557
    @rebeccatorti7557 Před 4 měsíci

    Thank you @zedstatistics! I echo the sentiments of the others here: thank god for you otherwise I would likely be failing this part of my course! One thing though, I do not understand the part at 15:14 where you say - 'just some algebra...hope it's not too advanced!' Well, it is! Do you have a video that might explain this bit for me please?

  • @Bryan-uu3fu
    @Bryan-uu3fu Před 6 lety +1

    Awesome videos, these have helped me understand regression so much better! I have a test coming up next week and I definitely feel a lot better about it. I'm praying that part 5 comes out before then lol

    • @PunmasterSTP
      @PunmasterSTP Před 2 lety

      Hey I know it's been a long long time, but I saw your comment and was curious. How did that test go?

  • @alexdeleeck7674
    @alexdeleeck7674 Před 5 lety +1

    All your vids are extremely helpful. Thank you so much!

  • @ltoco4415
    @ltoco4415 Před 4 lety +2

    @zedstatistics At 17:31 you have shown how to did we come across the value 4.73 for pink slip. How do we derive the value 0.84 for price variable as in case of pink slip we calculated for scenarios with pink slip and without pink slip. How doe we do the same in case of price?

    • @sjaun1514
      @sjaun1514 Před 2 lety

      You just need to reverse the process shown above so keep the Pink Slip as a constant value of 1 (or 0 if you prefer) and adjust price to 1 [i.e. 0.396+(-0.173*1)+(1.55*1)] for the first calculation and 0 for the second i.e. [0.396+(-0.173*0)+(1.55*1)] (so just reversing what he showed when calculating 4.73)

  • @jumaayubumohamedi4813
    @jumaayubumohamedi4813 Před 4 měsíci

    Very nice video and well understood

  • @mouradmadouni8277
    @mouradmadouni8277 Před 2 lety

    Fantastic ! Thank you.

  • @aljabencina4736
    @aljabencina4736 Před 3 lety

    You are my favorite person rn

  • @jacejohnny7841
    @jacejohnny7841 Před 2 lety

    This was SOOOOOOO Helpful!

  • @rifatahsan5636
    @rifatahsan5636 Před rokem

    May god bless you. You are the best teacher. Keep up the good work buddy. :D

  • @dc33333
    @dc33333 Před 2 lety

    Gifted speaker. So clear.

  • @aishiaratrika
    @aishiaratrika Před 4 lety

    You are a gem I must say.

  • @suryan5934
    @suryan5934 Před 4 lety +5

    What do you say when someone asks you to pause the video and give it a go? "Not today"

  • @ThePablo505
    @ThePablo505 Před 2 lety

    Amazing, thank you

  • @Gordon_Gekko
    @Gordon_Gekko Před 7 lety

    Waiting so long for that, good job :)

  • @FarhadNadirli
    @FarhadNadirli Před 3 lety +2

    Hey Justin, many thanks for the videos!
    I just have one thing to confirm, among all regression assumptions, which one is applicable also for logistic regression? All of them? Or some of them are no longer required in case of logistic regression.

  • @t-saiga1917
    @t-saiga1917 Před 2 lety

    Great Video, thank u so much!!!

  • @pnm3225
    @pnm3225 Před 2 lety

    OMG. Thank you so much!!

  • @KirkAlpe
    @KirkAlpe Před 5 měsíci

    Hi, can you make a video about mixed logit model!

  • @mouradmadouni8277
    @mouradmadouni8277 Před 2 lety

    Very useful and clear. Thank you very much!

  • @JC-dl1qr
    @JC-dl1qr Před 5 lety

    Great video and super clear explanation!

  • @devamshah7986
    @devamshah7986 Před 4 měsíci

    wait but the intercept has a p value of 0.4 so how can we create an equation when the b0 is insignificant

  • @allantran5511
    @allantran5511 Před 3 lety

    Amazing explanation!

  • @umeshbhusal2709
    @umeshbhusal2709 Před 2 lety

    crystal clear. many thanks @
    zedstatistics

  • @jeetsaha1317
    @jeetsaha1317 Před rokem

    Can I use logit regression if the error term doesn't follow logistic distribution?

  • @LamLam-om1yw
    @LamLam-om1yw Před 7 lety +1

    Great video! When will the fifth video be out?

  • @prajwalchauhan6440
    @prajwalchauhan6440 Před 2 lety

    Great work.

  • @sanjaysinha2767
    @sanjaysinha2767 Před 6 lety

    Great Job. Very informative.

  • @EngineeringChampion
    @EngineeringChampion Před 3 lety

    WOW! I just had a sudden realization!

  • @zafarnasim9267
    @zafarnasim9267 Před 2 lety

    One question:
    If you applied log on the left side,shouldn't you apply it to the right side also?

  • @fernandorau
    @fernandorau Před 2 lety

    Thanks!

  • @leojun2
    @leojun2 Před 4 lety

    This is so good, thank you so much!!

  • @JoshuaDHarvey
    @JoshuaDHarvey Před 3 lety

    Great video thank you!

  • @syedamarjanarazzak5130

    thank you so much! it was really helpful

  • @serikshamgunov7940
    @serikshamgunov7940 Před 5 lety

    thank you very much for this video

  • @korman9872
    @korman9872 Před 2 lety

    Tx sir

  • @jakobforslin6301
    @jakobforslin6301 Před 2 lety

    You're the best!

  • @AnneMari93
    @AnneMari93 Před 5 lety

    These videos are so good! Have you in some video discussed Poisson regression?

    • @zedstatistics
      @zedstatistics  Před 5 lety +1

      Certainly have! See my website here: www.zstatistics.com/videos#/distributions

    • @zedstatistics
      @zedstatistics  Před 5 lety +3

      Ah, sorry not poisson regression (yet!). But the poisson distribution :)

  • @feodorabayles1231
    @feodorabayles1231 Před 6 lety

    Can logit be used when the dependent variable is not binary, but there are more categories (eg as in the previous example with four category of car age)?

  • @tobeyfowler
    @tobeyfowler Před 6 lety

    Also looking forward to "Regression V"

  • @Dupamine
    @Dupamine Před 3 lety

    I searched 'logit-linear models' and found this. Is this the same thing as logit-linear models. ?

  • @ammar46
    @ammar46 Před 2 lety

    Hey! How do you convert percentage into binary?

  • @cleopatra8734
    @cleopatra8734 Před 3 lety

    You can do this in excel btw

  • @raihankhan4374
    @raihankhan4374 Před 4 lety +1

    Didnt know Jamie Lannister taught stats

  • @JoaoVitorBRgomes
    @JoaoVitorBRgomes Před 4 lety +1

    I want to give u 10 likes

  • @zerohero109
    @zerohero109 Před 5 lety

    How if the categories are more than 2?

    • @zedstatistics
      @zedstatistics  Před 5 lety +2

      This would be called a multinomial logit model! Perhaps a video on this to come...

    • @zerohero109
      @zerohero109 Před 5 lety

      Thank you very much. If it possible, could you make the example of it using dependent variables that use likert scale? (Strongly agree, agree, etc) Thank you!

  • @pradeep2005s
    @pradeep2005s Před 5 lety +2

    Link to MLE mentioned in the video: czcams.com/video/7kLHJ-F33GI/video.html
    Can you please make video on Generalized Linear Models ? Thank you for these videos.

  • @lydialim1993
    @lydialim1993 Před 3 lety

    You explained in under 20 minutes what took my college lecturer 6 hours...AND WAY BETTER! Super disappointed with the quality of universities here.

  • @thisisshy8177
    @thisisshy8177 Před 3 lety

    The car is too expensive. $4,500? I can buy 3 iPhone 12.

  • @achudakhinkudachin2048

    Why the channel is named after the fascists?