Assumptions in Linear Regression - explained | residual analysis

Sdílet
Vložit
  • čas přidán 20. 08. 2024

Komentáře • 12

  • @DHDH_DH
    @DHDH_DH Před 6 měsíci +3

    amazing video. I really like how you use arrows, lines and boxes in your video, which helps form a picture in my head and helps me understand difficult and abstract concepts

  • @anthonykavindi6901
    @anthonykavindi6901 Před 4 měsíci +1

    Excellent video, so really help

  • @television80
    @television80 Před 4 měsíci

    Plz continue with your content, is really cool, congrats

  • @AnalyticalHarry
    @AnalyticalHarry Před 8 měsíci +1

    Thanks for video and really help me to break stat model

  • @jan6188
    @jan6188 Před rokem +2

    Excellent!

  • @abbasatashdehghan58
    @abbasatashdehghan58 Před rokem +2

    It was again another clear and explanatory video by Tileststs.
    I wonder if you can kindly provide a video with hand calculations on differences between various types of Anova (Type I, Type II and Type III) and their applications? There was an explanation here(link below), but not a very clear one.
    Many thanks

    • @tilestats
      @tilestats  Před rokem

      The last videos in this playlist show how to calculate a 2way ANOVA by hand and discuss type 1-3 models:
      czcams.com/play/PLLTSM0eKjC2dvba2A0VCUogEGDch6cXFN.html

  • @citrarizqin
    @citrarizqin Před 7 měsíci

    Excellent video! Thank you!

  • @shawnkim6287
    @shawnkim6287 Před rokem +1

    you clarified so much!

  • @user-uv4cu4hy7j
    @user-uv4cu4hy7j Před 5 měsíci +1

    This is so helpful, would you please clarify why the unequal variance will lead to a smaller p value?

  • @claudiocerron
    @claudiocerron Před rokem +1

    Excelente

  • @quanyolo2568
    @quanyolo2568 Před 6 měsíci

    thank you!