(Scaling) Consider the linear regression model in which Y = XB + ε under our standard assumptions with p - 1 predictors. Suppose that we scale the explanatory variables so that xij = kjwij, where i = 1,...,n, j = 1,...,p. By expressing X in terms of W, prove that Y^ remains unchanged under this change of scale. How do the new coefficients B^W with Wj as predictors, compare to coefficients B^X, with X as predictors?
(Scaling) Consider the linear regression model in which Y = XB + ε under our standard assumptions with p - 1 predictors. Suppose that we scale the explanatory variables so that xij = kjwij, where i = 1,...,n, j = 1,...,p. By expressing X in terms of W, prove that Y^ remains unchanged under this change of scale. How do the new coefficients B^W with Wj as predictors, compare to coefficients B^X, with X as predictors?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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