[50pts] Suppose we are given n data points {(xi, yi)}ni =1, which we assume to be generated yi = 0 + 1xi + where dist(0, 2). Now suppose the data was fit using linear regression by minimizing RSS (least squares), resulting in the two estimated parameters 0, 1. We now want to estimate the y-variable at a new point, x0. Denoting its true value on the line by 0 = 0 + 1x0, the estimate is: 0 = 0 + 1x0