Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Multi-factor ANOVA
Description
This lecture covers the concept of Multi-factor ANOVA, focusing on analyzing the variance explained by multiple factors and their interactions. The instructor explains how to build models to predict outcomes based on different factor levels and how to interpret the results using F-values. The lecture also delves into the significance of factor interactions and provides practical hints on decomposing the total sum of squares. Through examples and formulas, students learn how to apply Multi-factor ANOVA in real-world scenarios.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.