1. The following Matlab code generates some artificial training data for regression. linspace (0, 1, 50); % input data % slope % offset % model b = -2; 3 = w*x + b; n = 0.5*randn (size(x)); y = a +n; % random noise % generate noisy observations (a) Plot the training data and the true linear model. (b) Fit the least squares linear regression model f(x) - wx+b and report your estimated parameters - [6 w]. (e) Plot the fitted line.