Lecture

Regression Analysis: Multivariate Data Modeling

In course

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Description

This lecture covers the fundamentals of regression analysis applied to multivariate data modeling, focusing on topics such as matrix algebra for regression, multiple regression, ordinary least squares, interpretation of coefficients, properties of the least squares estimator, and test/confidence intervals for the coefficients. The instructor explains the importance of software like R for statistical calculations and demonstrates the application of regression models using real-world examples.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_bubkw1z6

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics

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