1) On Linear Regression topic, we provided equations for "simple linear regression". a) Manually compute the equations for the 5 points {(2,2), (0,0), (-2,- 2), (-1,1), (1,-1)} shown in the following figure. b) Visualize the training data points and the regressor line on a two dimensional space. c) Compute the least-squares error, which is simply the sum of the squares of the y-differences between each original point and the estimated one on the best-fit regression line.