We have n points defined by the set ((x¡, Yi), i = 1, 2, . n). We want to estimate the model y; = ßo + B1x¡ + €j. The problem is to find bo, b1, the best estimates of Bo and B1, to minimise the sum of squared deviations between the model and the data. ... E-Σ0-u)? = Σ+ bιαι- υ? i=1 Take partial derivatives of E with respect to bo and bị and set them to zero to find the regression coefficient equations.
We have n points defined by the set ((x¡, Yi), i = 1, 2, . n). We want to estimate the model y; = ßo + B1x¡ + €j. The problem is to find bo, b1, the best estimates of Bo and B1, to minimise the sum of squared deviations between the model and the data. ... E-Σ0-u)? = Σ+ bιαι- υ? i=1 Take partial derivatives of E with respect to bo and bị and set them to zero to find the regression coefficient equations.
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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