The least squares fit line for the points (2, 3.6), (1, 1.8), and (3,5.1) has form ŷ = mx + b. First, let f be the sum of the square errors between the predicted values ŷ and y-values for the three points. f(m, b) = = Minimize this function to find the m and b of the least square line, then write down equation of least squares line. y =

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