Consider the following table that describes a relationship between two input variables $($X$1,$X$2)$ and an output variable $($y$).$ X$1$ X$2$ y $\mathrm{.}1227\mathrm{.}2990+0\mathrm{.}1825\mathrm{.}3914\mathrm{.}6392+0\mathrm{.}8882\mathrm{.}7725\mathrm{.}0826-1\mathrm{.}9521\mathrm{.}8342\mathrm{.}0823-1\mathrm{.}9328\mathrm{.}5084\mathrm{.}8025+1\mathrm{.}2246\mathrm{.}9983\mathrm{.}7404-0\mathrm{.}0631($This is a part of the larger data set file included with this assignment.$)$ Using your favorite language, find the least squares solution to y $=$ W$1*$ X$1+$ W$2*$ X$2+$ b$.$ o Report the values of W$1,$ W$2,$ and b$.$ o Discuss the function or method you used to find the least$-$squares solution. Using the LMS algorithm, write a program that determines the coefficients $\{$W$1,$ W$2,$ b$\}$ via incremental updating, steepest descent, and multiple passes through the training data. You will need to experiment with updating rules $($online$,$ batch, minibatch$),$ step sizes $($i$.$e$.,$ learning rates$),$ stopping criteria, etc. Experiment to find settings that lead to solutions with the fewest number of sweeps through the data. o Report the values of W$1,$ W$2,$ and b$.$ o Discuss what settings worked well for you: online vs$.$ batch vs$.$ minibatch? What step size? How did you decide to terminate?