Assumptions in Linear Regression - explained | residual analysis

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  • Опубликовано: 2 окт 2024

Комментарии • 13

  • @DHDH_DH
    @DHDH_DH 7 месяцев назад +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

  • @c_iklas2
    @c_iklas2 24 дня назад +1

    Thank you 😊🙏

  • @shawnkim6287
    @shawnkim6287 Год назад +1

    you clarified so much!

  • @NaZhao-r1f
    @NaZhao-r1f 7 месяцев назад +1

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

  • @abbasatashdehghan58
    @abbasatashdehghan58 Год назад +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  Год назад

      The last videos in this playlist show how to calculate a 2way ANOVA by hand and discuss type 1-3 models:
      ruclips.net/p/PLLTSM0eKjC2dvba2A0VCUogEGDch6cXFN

  • @AnalyticalHarry
    @AnalyticalHarry 9 месяцев назад +1

    Thanks for video and really help me to break stat model

  • @anthonykavindi6901
    @anthonykavindi6901 5 месяцев назад +1

    Excellent video, so really help

  • @jan6188
    @jan6188 Год назад +2

    Excellent!

  • @television80
    @television80 5 месяцев назад

    Plz continue with your content, is really cool, congrats

  • @claudiocerron
    @claudiocerron Год назад +1

    Excelente

  • @citrarizqin
    @citrarizqin 9 месяцев назад

    Excellent video! Thank you!

  • @quanyolo2568
    @quanyolo2568 8 месяцев назад

    thank you!