(b) Compute R,². The adjusted multiple coefficient of determination is denoted by R. This adjusted value takes into consideration the number of independent variables used in the model. It is calculated as follows using the multiple coefficient of determination R2 where n is the number of observations and p is the number of independent variables. Note that it is possible for R, to take on negative values. n - 1 R,2 = 1 - (1 - R2)( п — р — 1 The estimated regression equation given below was constructed from 30 observations, so n = = 17.6 + 3.8x, – 2.3x2 + 7.6x3 + 2.7x4 The independent variables are denoted by This equation has independent variables, so p =

(b) Compute R,². The adjusted multiple coefficient of determination is denoted by R. This adjusted value takes into consideration the number of independent variables used in the model. It is calculated as follows using the multiple coefficient of determination R2 where n is the number of observations and p is the number of independent variables. Note that it is possible for R, to take on negative values. n - 1 R,2 = 1 - (1 - R2)( п — р — 1 The estimated regression equation given below was constructed from 30 observations, so n = = 17.6 + 3.8x, – 2.3x2 + 7.6x3 + 2.7x4 The independent variables are denoted by This equation has independent variables, so p =

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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