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Main Effects, Interaction, and Influence
Being able to identify interaction between variables is one of the most powerful aspects of statistics. Learn the meaning and importance of main effects, interaction, and influence when conducting a two-way ANOVA.
Course Videos
What Is ANOVA Analysis of Variance?
04:53
2How to Do a One-Way ANOVA
13:43
3How to Do a Two-Way ANOVA
08:36
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Main Effects, Interaction, and Influence
05:02
Next VideoWhat Is DF Degree of Freedom?
02:19
6What Is the F-Statistic?
03:30
7What Is R-Squared and Adjusted R-Squared?
05:43
8Checking Residuals Assumptions for ANOVA
04:44
9What Is a Post Hoc Test?
04:32
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Next Video What Is DF Degree of Freedom?
The Degree of Freedom, or DF, is used in the design phase of experiments and studies. Learn how to calculate DF and how it helps us to determine the appropriateness of the ANOVA model’s assumptions, as well as the reliability of our study’s conclusions.