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: Linear Regression, Clearly Explained!!!

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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)

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