Lecture
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.