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) : ... X1 X2 Y 1 13 11 62.8739 2 15 11 76.1328 3 13 13 87.4667 4 15 13 102.3236 14 12 76.1872 14 12 77.5287 7 14 12 76.7824 8 14 12 77.4381 9. 14 12 78.7417 Form the Multiple Regression Model using Matrices. Y = Blank 1+ Blank 2 X1 + Blank 3 X2 Blank 1 Add your answer Blank 2 Add your answer Blank 3 Add your answer
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) : ... X1 X2 Y 1 13 11 62.8739 2 15 11 76.1328 3 13 13 87.4667 4 15 13 102.3236 14 12 76.1872 14 12 77.5287 7 14 12 76.7824 8 14 12 77.4381 9. 14 12 78.7417 Form the Multiple Regression Model using Matrices. Y = Blank 1+ Blank 2 X1 + Blank 3 X2 Blank 1 Add your answer Blank 2 Add your answer Blank 3 Add your answer
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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
Transcribed Image Text: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) :
...
X1
X2
Y
1
13
11
62.8739
2
15
11
76.1328
3
13
13
87.4667
4
15
13
102.3236
14
12
76.1872
14
12
77.5287
7
14
12
76.7824
8
14
12
77.4381
9.
14
12
78.7417
Form the Multiple Regression Model using Matrices.
Y = Blank 1+ Blank 2 X1 + Blank 3 X2
Blank 1 Add your answer
Blank 2 Add your answer
Blank 3
Add your answer
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