Using Linear Models for t tests and ANOVA Clearly Explained

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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 . • If you'd like to support StatQuest, please consider... • Patreon:   / statquest   • ...or... • YouTube Membership:    / @statquest   • ...buy my book, 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: •   / 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

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