Assumptions in Linear Regression - explained | residual analysis

www.tilestats.com/
1. How a residual plot is created
2. Linear relationship (03:07)
3. Equal variance - homoscedasticity (04:44)
4. Normality (06:50)
5. Cook's distance (09:30)
6. Independence (11:48)
7. No collinearity - variance inflation factor (13:33)

Пікірлер: 12

  • @DHDH_DH
    @DHDH_DH5 ай бұрын

    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
    @anthonykavindi69013 ай бұрын

    Excellent video, so really help

  • @citrarizqin
    @citrarizqin6 ай бұрын

    Excellent video! Thank you!

  • @shawnkim6287
    @shawnkim6287 Жыл бұрын

    you clarified so much!

  • @AnalyticalHarry
    @AnalyticalHarry7 ай бұрын

    Thanks for video and really help me to break stat model

  • @television80
    @television803 ай бұрын

    Plz continue with your content, is really cool, congrats

  • @jan6188
    @jan6188 Жыл бұрын

    Excellent!

  • @user-uv4cu4hy7j
    @user-uv4cu4hy7j4 ай бұрын

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

  • @abbasatashdehghan58
    @abbasatashdehghan58 Жыл бұрын

    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

    Жыл бұрын

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

  • @claudiocerron
    @claudiocerron Жыл бұрын

    Excelente

  • @quanyolo2568
    @quanyolo25685 ай бұрын

    thank you!