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Lecture
Multilinear Regression: Standardized Variables and Effects
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.
Official source
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