1. (15%) You did an experiment and got the following data points of (x, y) pair:
(0,0), (2,2), (3,6), and (4,12).
You hypothesize that y = f(x) = a+bx, where You would like to fit f(x) to the
data points.
【題組】
(1.3) Now you want to perform a least-square-error fit (also called a linear regression) of f(x)
to the four given data points, that is, Please explain why the optimal solution, V', is the projection of vector c onto CS (A).
(4%)