In this lecture, I explain the meaning of ANCOVA and interaction in ANCOVA.
The diagnostic plots are discussed in greater detail here: • Lecture: Model Diagnostics [see descr...
When you use multiple linear regression (including ANCOVA), the question of which variables and/or interactions arises. For a more definitive discussion about model selection, see: • Lecture: Model Selection
If you use multiple linear regression (including ANCOVA) for hypothesis testing (i.e. do my variables have a significant effect?), you should use a form of multiple testing correction: • Mini Lecture: Multiple Testing
0:00 Introduction
1:28 Recap of simple linear regression
4:29 Simple linear regression in R
7:55 Multiple linear regression
10:57 Dummy variables (ANCOVA)
14:42 ANCOVA in R
18:00 ANCOVA in R: Interpreting the output
19:23 ANCOVA in R: Changing the intercept (relevel)
22:07 Interaction
24:32 Interaction in R
25:09 Interaction in R: Interpreting the output
28:08 Comparing a model with and without interaction
31:30 Summary: Interaction
32:31 Summary: All models discussed so far
33:24 ANCOVA can be more powerful than ANOVA
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