Regression and Prediction in R Using the lm() Command

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  • Опубликовано: 21 авг 2024

Комментарии • 36

  • @rexvm
    @rexvm Год назад +3

    this is honestly the best video explaining regressions to the most laymen person. thank you

  • @fungusluvr
    @fungusluvr 4 месяца назад

    thank you king you saved my life with this

  • @ayatullahalmusabiakanda8024
    @ayatullahalmusabiakanda8024 4 месяца назад +1

    This is a very good video and helped me a lot. Thank you

  • @nikoo2
    @nikoo2 9 месяцев назад +1

    the smile at the end :D

  • @user-sf5iq2fl1l
    @user-sf5iq2fl1l Год назад

    Very good for quick undestanding!

  • @djyi2174
    @djyi2174 2 года назад +1

    Thank you so much for sharing this tutorial.

  • @jenawimer3593
    @jenawimer3593 2 года назад

    The video sound is pretty good, beyond my imagination

  • @lucia18478
    @lucia18478 Год назад +1

    Very helpful video, thank you!

  • @huzaifaimam7252
    @huzaifaimam7252 2 года назад +1

    Great tutorial! Subscribed

  • @mardzj
    @mardzj 2 года назад +2

    Thank you, concise and clear!

  • @nicholaskiulia9649
    @nicholaskiulia9649 2 года назад +2

    great tutorial. Can you also kindly explain the Dirichlet regression model and how to interpret the summary output?

  • @lifeisfun4290
    @lifeisfun4290 3 года назад +1

    Great tutorial!

  • @gamerallday9924
    @gamerallday9924 2 года назад +1

    Thanks so much!

  • @Victoriataieb
    @Victoriataieb Год назад

    very helpful, thank u

  • @nikoo2
    @nikoo2 9 месяцев назад +1

    thx !

  • @romanvasiura6705
    @romanvasiura6705 Год назад

    Thank you!

  • @nicolaieriksrd5330
    @nicolaieriksrd5330 9 месяцев назад

    thanks g

  • @illiasuabdulrazak8900
    @illiasuabdulrazak8900 7 месяцев назад

    Thanks for d video. It was very helpful. I have a question pls… How can i put my predicted values in a tabular form pls?

    • @EquitableEquations
      @EquitableEquations  7 месяцев назад

      Hi! Check out the broom package here: ruclips.net/video/Oy1_A_ZhCY0/видео.html. You'll love it!

  • @shivajibagal7568
    @shivajibagal7568 3 года назад +1

    Sir could you make a video on how can we do data analysis on collected data which you have recorded in an excel sheet.

    • @EquitableEquations
      @EquitableEquations  3 года назад

      Hi! You can always import an excel sheet into R using read_excel() in the readxl package, for instance. I'll be putting out more videos on different aspects of data analysis all year long.

  • @madhujitrana9416
    @madhujitrana9416 3 года назад +1

    Sir, can you please make a video that how to predict demand quantity using arima model in r, I have learn how to forcast using arima model but lastly I cannot found final prediction data in my main data. So atlest can you give me idea how I can add my prediction data in my dataset

    • @EquitableEquations
      @EquitableEquations  3 года назад

      Great suggestion, thanks! I'll put ARIMA on my to-do list.

  • @yaweli2968
    @yaweli2968 2 года назад

    so, how can one build a confidence interval with an x value that is not in the dataframe? I am only getting the interval for my values in the dataframe. my code is predict(My_Linmod,data.frame(X=c(2,4)),interval="confidence",level=0.99). I don't have 4 in my dataframe and my linear model is Y^=10.2+4*X so I know Y^ is 26.2.
    I can't build a 99% C.I for X=4, but it shows for X=2 since 2 is in my data.

    • @EquitableEquations
      @EquitableEquations  2 года назад

      Hi! This should work, so you'll need to recheck your model. For another example of the predict() function, take a look at this vid on multiple regression: ruclips.net/video/2Pp6Bd5kb08/видео.html

  • @lucario4399
    @lucario4399 Год назад

    6:24 data.frame()

  • @brendaoliveiradosreis752
    @brendaoliveiradosreis752 2 года назад

    How can i do a polynomial regression using the function "lm" ?

    • @EquitableEquations
      @EquitableEquations  2 года назад

      Hi! This simplest thing is to add higher-power terms to your model, like y ~ x + I(x^2), for instance. I promise a vid on this eventually.