Machine Learning - Using Linear Models for t-tests and ANOVA, Clearly Explained!!!

This StatQuest shows how the methods used to determine if a linear regression is statistically significant (covered in part 1) can be applied to t-tests and ANOVA. It also introduces the concept of a "design matrix". Part 1 of this series on GLMs (general linear models) is here: https://youtu.be/nk2CQITm_eo For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer Correction: 7:40 There should be parentheses around the SS differences in the F-statistics to have correct equations; (SS(mean)-SS(fit))/(p_fit-p_mean) #statquest #regression