(a) Using the multiple linear regression approach (generalized least squares method), write the model in the general linear form y = co*o + C1*1+CC2X2+ +Cm*m (6) and then specify the form of the parameters co, c1, c2, ,Cm: (b) To obtain the parameters of the model, the following linear algebra operation is re- quired, e= [A"A]*[A*y] (7) define the matrices A and y for this case including size and content.
(a) Using the multiple linear regression approach (generalized least squares method), write the model in the general linear form y = co*o + C1*1+CC2X2+ +Cm*m (6) and then specify the form of the parameters co, c1, c2, ,Cm: (b) To obtain the parameters of the model, the following linear algebra operation is re- quired, e= [A"A]*[A*y] (7) define the matrices A and y for this case including size and content.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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![In modeling the effect of an impurity on crystal growth the following equation is used:
G-GL
Go-G KLCM
(1)
where C is the impurity concentration, Gi is a limiting growth rate, Go is the growth
rate of the crystal with no impurity present and KL and M are model parameters. The
table below shows the values of growth rates G for several impurity concentrations C,
for the values of Go = 310-3ml/min and G1 = 1.810-3ml/min.
75 100 125
C(ppm)
G(ml/min)x 103 2.5 2.2 2.04 1.95
50
Recall that in the multiple linear regression approach (generalized least squares method),
we write the general linear model as
y = coxo + C1x1+c2x2+ + CmXm
(2)
which is equivalent to
Ac = y,
where
X1
1
yi
1.
y2
(4)
1
Ут
Then we use the following linear algebra operation to find the parameters co, c1,
C2, *, Cm:
c= [A"A]*[A"y]
(5)
(a) Using the multiple linear regression approach (generalized least squares method),
write the model in the general linear form
y = coxo +C1x1+c2x2 +.+ CmXm
(6)
and then specify the form of the parameters co, c1, C2, ,Cm:
(b) To obtain the parameters of the model, the following linear algebra operation is re-
quired,
c= [A"A]*[A"y]
(7)
define the matrices A and y for this case including size and content.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F88c43c50-42d9-4dc0-b327-0989874cc0b6%2F359cf0d1-3340-4b42-b35d-2c5e59123a74%2Fjw1kjjt_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In modeling the effect of an impurity on crystal growth the following equation is used:
G-GL
Go-G KLCM
(1)
where C is the impurity concentration, Gi is a limiting growth rate, Go is the growth
rate of the crystal with no impurity present and KL and M are model parameters. The
table below shows the values of growth rates G for several impurity concentrations C,
for the values of Go = 310-3ml/min and G1 = 1.810-3ml/min.
75 100 125
C(ppm)
G(ml/min)x 103 2.5 2.2 2.04 1.95
50
Recall that in the multiple linear regression approach (generalized least squares method),
we write the general linear model as
y = coxo + C1x1+c2x2+ + CmXm
(2)
which is equivalent to
Ac = y,
where
X1
1
yi
1.
y2
(4)
1
Ут
Then we use the following linear algebra operation to find the parameters co, c1,
C2, *, Cm:
c= [A"A]*[A"y]
(5)
(a) Using the multiple linear regression approach (generalized least squares method),
write the model in the general linear form
y = coxo +C1x1+c2x2 +.+ CmXm
(6)
and then specify the form of the parameters co, c1, C2, ,Cm:
(b) To obtain the parameters of the model, the following linear algebra operation is re-
quired,
c= [A"A]*[A"y]
(7)
define the matrices A and y for this case including size and content.
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