A standardized regression coefficient is created by transforming all variables in the model to have a mean of zero and a standard deviation of 1.0. This allows the standardized coefficients to be ...

10.1 Kitchen sink model. We can extend the lm(y~x) function to construct a more complicated “formula” for the multi-dimensional model: lm(y ~ x1 + x2 + ... + xn ).This tells R to find the best model ...