Regression Analysis (Goodness Fit Tests, R Squared & Standard Error Of Residuals, Etc.)

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  • Опубликовано: 30 сен 2024
  • Linear Regression Analysis, Goodness Of Fit Testing (R Squared & Standard Error of Residuals), how well Linear model fits the data, (X-Independent Variable) & (Y-Dependent Variable), calculating the standard error (standard deviation) of the regression residuals, how its done, detailed discussion by Allen Mursau

Комментарии • 7

  • @gordtvradio3465
    @gordtvradio3465 2 года назад

    I found this video very helpful, but your presentation was like grating on my nerves. Like, you took 1 minute to say Y plus or minus 140. Kinda cumbersome

  • @muhammadtaharaees3173
    @muhammadtaharaees3173 3 года назад +1

    where u use goodness of fit test in this?? 🤔😡

  • @kf88743
    @kf88743 8 лет назад +1

    This was by far the best explanation that I have heard. I have really been trying to understand the logic of R2 and now that you explained ESS it makes sense. When I first looked at the infograph I thought it was too busy, but I love how you went through all of the info. Excellent job.

  • @ajayraje4924
    @ajayraje4924 8 лет назад

    How does it help if R2 is 15%? Should i not use regression at all? I'm confused please help :(

  • @johns6176
    @johns6176 6 лет назад

    Excellent explaination

  • @emmalineclarebowman5375
    @emmalineclarebowman5375 9 лет назад

    Thanks, helped me a lot!:)