1. The problem of finding a line that best "fits" a set of data can be solved using the method of least squares. Consider the simple set of data below, where we have the heat capacity, Cy, of a material at different temperatures, T, and pressures, P. T P 5 10 2 10 25 3 20 4 10 40 10 We can use the method of least squares to fit a model of the form, c, = Bo + B1T + B2P, where and a and b are parameters of the linear fit. The following equations can be used to derive the parameters: 1 5 1 2 10 A =|1 3 1 4 10 1 5 10/ 10 B =| 25 20 \40, AT A B1) = AT B

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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1. The problem of finding a line that best "fits" a set of data can be solved using the method of
least squares. Consider the simple set of data below, where we have the heat capacity, Cy, of a
material at different temperatures, T, and pressures, P.
T
P
5
1
10
2
10
25
3
5
20
4
10
40
10
We can use the method of least squares to fit a model of the form, c, = Bo + B1T + B2P,
where and a and b are parameters of the linear fit. The following equations can be used to
derive the parameters:
1 1 5v
1 2 10
A =|1 3
1 4 10
\1 5
10
10
B =
25
20
40
Bo
ATA B1) = A"B
\B2.
Solve the system of equations defined above to find values for Bo, ß1, and ß2. Be sure to
show your work. (
~
Transcribed Image Text:1. The problem of finding a line that best "fits" a set of data can be solved using the method of least squares. Consider the simple set of data below, where we have the heat capacity, Cy, of a material at different temperatures, T, and pressures, P. T P 5 1 10 2 10 25 3 5 20 4 10 40 10 We can use the method of least squares to fit a model of the form, c, = Bo + B1T + B2P, where and a and b are parameters of the linear fit. The following equations can be used to derive the parameters: 1 1 5v 1 2 10 A =|1 3 1 4 10 \1 5 10 10 B = 25 20 40 Bo ATA B1) = A"B \B2. Solve the system of equations defined above to find values for Bo, ß1, and ß2. Be sure to show your work. ( ~
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