Given a set of n data points (x1,y1),(x2,y2),...,(xn,yn), the best least squares fit f(x) is obtained by minimization of:
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The least squares fit is obtained by choosing the α and β so that m. X ... x1. 1 x2. 1. – » α β. –. = » y1 y2 . –. But why just pick two points? NMM: Least Squares ... Least-squares fit of data to y = c(1)*x + c (2).
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