Interpreting R Output for Simple Linear Regression Part 2

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  • Опубліковано 5 вер 2024

КОМЕНТАРІ • 44

  • @Sofi8007
    @Sofi8007 6 років тому

    YOU ARE ROCKING THIS!! THANK YOU SO MUCH! WE GOT A SCRIPT WITH OVER 150 SLIDES AND YOU MANAGED TO EXPLAIN THAT IN JUST LESS THAN 30 MIN

  • @alanan1373
    @alanan1373 3 роки тому

    This helped me a lot! Appreciate this content very much as my professor assumes that I remember the introduction stats class materials that I took 2 years ago and dive into a depth model while I have totally forgotten what these numbers mean!

  • @KetevanBolkvadze
    @KetevanBolkvadze 8 років тому +3

    Thanks so much for this superb explanation!

  • @Nothingimportant1
    @Nothingimportant1 Рік тому

    Thank you so much, great tutorial.

  • @nicomakian1290
    @nicomakian1290 2 роки тому

    Thank you for the helpful info!

  • @donquixotedoflamingo7685
    @donquixotedoflamingo7685 4 роки тому

    Thank you so much!!! U really got me out of a Jam!!! I was totally lost in interpretation of these values, thanks a lot

  • @selenehsu9423
    @selenehsu9423 4 роки тому

    Thanks for this clear explanation. Easy to understand.

  • @rahulm2028
    @rahulm2028 6 років тому

    wonderful video helped me in clarifying so many doubts... thanks

  • @shivani.mudaliar
    @shivani.mudaliar Рік тому

    Wow, well explained. Thank you!

  • @harikamujula253
    @harikamujula253 5 років тому

    I found this very useful. Thank you very much for your detailed explanation !!!

  • @krutarthpatel02
    @krutarthpatel02 3 роки тому

    Thank you so so much for making those videos.

  • @patrickdonkor4343
    @patrickdonkor4343 3 роки тому

    I have really learnt a lot, thanks so much.

  • @murtuzadahodwala301
    @murtuzadahodwala301 7 років тому +10

    Where can i get these wonderful slides?

  • @danahamed9657
    @danahamed9657 3 роки тому

    i think u just helped me graduate

  • @rakesh903
    @rakesh903 6 років тому

    Excellent Explanation. Please organize the videos accordingly. Please create playlists.

  • @kmdarie
    @kmdarie 7 років тому

    Hey, thanks for making this video! It helped clarify some things for me.

  • @funwithyoutubeee3164
    @funwithyoutubeee3164 4 роки тому

    thank you so much! Such a great explanation!

  • @mahalakshmisundaramurthy5290
    @mahalakshmisundaramurthy5290 4 роки тому

    Thank you so much for the explanation.

  • @krzysztofp4863
    @krzysztofp4863 6 років тому

    Thanks a lot for sharing this video!

  • @amnindersekhon779
    @amnindersekhon779 4 роки тому

    Thank you

  • @ruthmathews4436
    @ruthmathews4436 3 роки тому

    Thank you for providing explanations with illustration. Sir, I had one doubt. In one case residual error tells how well model predicts and other case F Statistic tells significance of overall model. Which one is a better parameter for analysis of reliability of model.

    • @ruthmathews4436
      @ruthmathews4436 3 роки тому

      Thank you for explaining the statistical concepts clearly. It is indeed a really helpful for a person who is a novice.

  • @laymanpsychology6115
    @laymanpsychology6115 2 роки тому

    very helpful

  • @poopanda1999
    @poopanda1999 5 років тому

    Awesome, though I needed to look in the book for formulas and Actually those terms SSE, SSM, SST are really confusing as notation differs from book to book.

  • @ianscottuk
    @ianscottuk 3 роки тому

    this is the bit that is missing from the stats course we are doing! Ta

  • @krishnamohanathota5857
    @krishnamohanathota5857 6 років тому

    Thank you for the detailed explanation. Can you please share the link to download this PPT ?

  • @bimaljeetsingh8984
    @bimaljeetsingh8984 3 роки тому

    great

  • @annanau1
    @annanau1 5 років тому

    Hi! Thanks for the awesome video? Was wondering where I could find these slides?

  • @johnwestman1251
    @johnwestman1251 4 роки тому

    hey, how can i get the value of the residual standard error by only using the values in the R output?

  • @RinkiGuptar
    @RinkiGuptar 7 років тому

    Hello, Thanks for this excellent video. I just want to ask which book you refer here ? Waiting to hear from you.
    Thanks
    Warm Regards,

    • @RinkiGuptar
      @RinkiGuptar 7 років тому

      Thank you. Its very useful. Nice to connect with you.
      Warm Regards,

    • @RinkiGuptar
      @RinkiGuptar 7 років тому

      Hello ,
      I want to compute the estimated intercept and slope coefficients of a logistic regression model fitted to the following data (outcome is cancer):
      Cancer No cancer
      Smoker 700 200
      Non smoker 300 800
      Which method , I should adopt as I want to calculate it by hand not by software?
      I have calculated OR but what should I do next ?
      I would be thankful, if you can help.
      Thanks

  • @jamminjayzee
    @jamminjayzee 7 років тому

    How do I find the expected score? I have all of that information, but I want to know what section of all of that I need to look at/ interpret to find an expected score. Thanks for the video!

    • @jamminjayzee
      @jamminjayzee 7 років тому

      Jonathan Brown
      I posted the question along with the r studio formula I was given on my reddit as I was struggling with the question, if you don't mind would you please look there. I just want to make sure I have to do extra steps because my professor never told us that. From what I understood, all I had to do was interpret what he gave me. thank you so much I really appreciate the help!
      For a respondent who is 30 years old, what is the expected score they would give Trump?
      www.reddit.com/r/RStudio/comments/5faf6q/for_a_respondent_who_is_30_years_old_what_is_the/

    • @jamminjayzee
      @jamminjayzee 7 років тому

      Jonathan Brown I think I understand what you're saying. so I just have to keep the formula the same but add 30 to it (*30)?? do you know what code I have to use to do that? is it the one you wrote *30?

    • @jamminjayzee
      @jamminjayzee 7 років тому

      Jonathan Brown well I have a class project due on the 10th that requires me to show my work in r studio so I think this is just practice for that, so unfortunately I guess I have to do it in r studio. I'll look at it tomorrow and do what you're saying, thanks for your help! I was confused about the problem!

    • @jamminjayzee
      @jamminjayzee 7 років тому

      so I spoke to my professor and he said I didn't have to do it all on the r studio. I could just multiply the age estimate by 30 and add the intercept estimate. I also have to find the p-value which is 1.66e-09***, and find if its statistically significant at the 0.05 two tailed level. so from what I understand, the p-value is 0.00000000166 and i have to multiply that to get the two tailed test which will leave me with a much lower p-value, which means I reject the null hypothesis? is this correct? Or am i totally missing something? thanks for your help btw

    • @jamminjayzee
      @jamminjayzee 7 років тому

      Jonathan Brown would it be possible if I could send you my homework before I turn it in just to be sure it's correct?

  • @nilajahrivers1109
    @nilajahrivers1109 4 роки тому

    Could you please provide your slides? I understand if no. Doesn't hurt to ask. lol

  • @salvindsouza7053
    @salvindsouza7053 5 років тому

    Thank you