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a) What is a linear regression? How can we find the best linear regression to fit a certain data? How can we quantify the goodness of the regression lines' fit? b) Fit a straight line y=a, +a,x to the values in the below table. c) Fit a second order polynomial y=a,+a,x+a,x to the values in the below table.Just obtain and write the linear equation system, do not solve the equations to find the unknowns. X 0.5 1 1.5 2.5 y=f(x) 4.6 6.3 8.8 11.5 14.2

a) What is a linear regression? How can we find the best linear regression to fit a certain data? How can we quantify the goodness of the regression lines' fit? b) Fit a straight line y=a, +a,x to the values in the below table. c) Fit a second order polynomial y=a,+a,x+a,x to the values in the below table.Just obtain and write the linear equation system, do not solve the equations to find the unknowns. X 0.5 1 1.5 2.5 y=f(x) 4.6 6.3 8.8 11.5 14.2

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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a) What is a linear regression? How can we find the best linear regression to fit a certain data? How can we quantify the goodness of the regression lines' fit? b) Fit a straight line y=a, +a,x to the values in the below table. c) Fit a second order polynomial y=a,+a,x+a,x to the values in the below table.Just obtain and write the linear equation system, do not solve the equations to find the unknowns. 0.5 1 1.5 2.5 y=f(x) 4.6 6.3 8.8 11.5 14.2
Transcribed Image Text:a) What is a linear regression? How can we find the best linear regression to fit a certain data? How can we quantify the goodness of the regression lines' fit? b) Fit a straight line y=a, +a,x to the values in the below table. c) Fit a second order polynomial y=a,+a,x+a,x to the values in the below table.Just obtain and write the linear equation system, do not solve the equations to find the unknowns. 0.5 1 1.5 2.5 y=f(x) 4.6 6.3 8.8 11.5 14.2
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