0 out of 5 points (Extra Credit) [Extra credit] Consider a linear regression on the three examples, with one dependent variable y and one independent variable x , shown in the figure below. The x, y values are also sown in the table. What value will you get for the mean squared leave-one-out cross-validation error of using linear regression ? (Hint: when you leave out the 2nd example, a regression on the first and third examples gives a line through these points with slope=1/3; the predicted value for the left-out example (which has x=2) is , and so the squared error Similarly, determine squared error when the 1st and 3rd examples are individually left out, and calculate the mean). 2- 1 - Y 0 O 1 2 W X