This video directly follows part 1 in the StatQuest series on General Linear Models (GLMs) on Linear Regression https://www.youtube.com/watch?v=nk2CQITm_eo . This StatQuest shows how the exact same principles from "simple" linear regression also apply multiple regression. At the end, I show how to test if a multiple regression is better than a simple regression. To see how to do multiple regression in R, check out https://www.youtube.com/watch?v=hokALdIst8k
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Correction:
2:49 I left off some of the parentheses for the equation for F. The numerator should be: (SS(mean) - SS(fit))/(pfit - pmean)
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