An article in Biotechnology Progress (2001, Vol. 17, pp. 366-368) reported on an experiment to investigate and optimize nisin extraction in aqueous two-phase systems. The nisin recovery was the dependent variable (y). The two regressor variables were concentration (%) of PEG 4000 (x1) and concentration (%) of Na2SO4 (x2) : Form the Multiple Regression Model using Matrices.
An article in Biotechnology Progress (2001, Vol. 17, pp. 366-368) reported on an experiment to investigate and optimize nisin extraction in aqueous two-phase systems. The nisin recovery was the dependent variable (y). The two regressor variables were concentration (%) of PEG 4000 (x1) and concentration (%) of Na2SO4 (x2) : Form the Multiple Regression Model using Matrices.
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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An article in Biotechnology Progress (2001, Vol. 17, pp. 366-368) reported on an experiment to investigate and optimize nisin extraction in aqueous two-phase systems. The nisin recovery was the dependent variable (y). The two regressor variables were concentration (%) of PEG 4000 (x1) and concentration (%) of Na2SO4 (x2) :
Form the Multiple Regression Model using Matrices.
Y = ___ + ___ X1 + ___ X2
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