Lecture

Multilinear Regression: Standardized Variables and Effects

In course

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Description

This lecture covers the concept of standardizing variables in multilinear regression, including how to standardize variables, standardized half-effects, and the importance of going back to non-standardized variables. It also discusses the computation of effects, variance of coefficients, confidence intervals of half-effects, and the correlation matrix.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_vx43wx3r

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics, Statistical hypothesis testing

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