If we use least squares to fit a function in the form of a hyperplane ŷ = a + β supT / sup x to the data ( x sub i / sub , y sub i / sub ) sub 1 ≤ i ≤ n / sub , we could then assess the fit using the mean squared error ( MSE ) .