In the least squares regression of y on a constant and X, to compute the regression coefficients on X, we can first transform y to deviations from the mean y̅ and, likewise, transform each column of X to deviations from the respective column mean; second, regress the transformed y on the transformed X without a constant. Do we get the same result if we only transform y? What if we only transform X?