Assumptions in Linear Regression - explained | residual analysis

[@Shadowster23]

thanks for taking the time to explain this clearly! great video :)

[@DHDH_DH]

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

[@NaZhao-r1f]

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

[@analyticswithharry]

Thanks for video and really help me to break stat model

[@citrarizqin]

Excellent video! Thank you!

[@anthonykavindi6901]

Excellent video, so really help

[@television80]

Plz continue with your content, is really cool, congrats

[@c_iklas2]

Thank you 😊🙏

[@abbasatashdehghan58]

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]

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

[@shawnkim6287]

you clarified so much!

[@claudiocerron]

Excelente

[@quanyolo2568]

thank you!