6. Given a set of n points (x1, y1), (x2, y2),... (æn, Yn), determine the best fit quadratic y = ao+a1x+a₂x² using the same method that we did in class for linear regression. Show that the coefficients can be obtained using the matrix equation (XTX)A = (XTY) where A contains the unknown coefficients ao, a1 and a2.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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6. Given a set of n points (x1, y1), (x2, y2),... (xn, yn), determine the best fit quadratic y = ao+a1x+a2x²
using the same method that we did in class for linear regression. Show that the coefficients can be
obtained using the matrix equation (XTX)A = (XTY) where A contains the unknown coefficients
ao, a₁ and a2.
7. (Multiple linear regression) Given a set of n points (x1, y1, 21), (x2, Y2, 22),..., (xn, yn, Zn), determine
the best fit plane z = ao + a₁x + a2y using the same method that we did in class for linear regression.
Show that the coefficients can be obtained using the matrix equation (XTX)A = (XTY) where A
contains the unknown coefficients ao, a1 and a2
Transcribed Image Text:6. Given a set of n points (x1, y1), (x2, y2),... (xn, yn), determine the best fit quadratic y = ao+a1x+a2x² using the same method that we did in class for linear regression. Show that the coefficients can be obtained using the matrix equation (XTX)A = (XTY) where A contains the unknown coefficients ao, a₁ and a2. 7. (Multiple linear regression) Given a set of n points (x1, y1, 21), (x2, Y2, 22),..., (xn, yn, Zn), determine the best fit plane z = ao + a₁x + a2y using the same method that we did in class for linear regression. Show that the coefficients can be obtained using the matrix equation (XTX)A = (XTY) where A contains the unknown coefficients ao, a1 and a2
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