5. Implement a function in python that calculates the squared error between a linear model and a response variable. That is, given an array X in two dimensions into numpy of size mxn, y a one- dimensional array of size m, and a one-dimensional array w of size n, the function should return m (xw-yi) i=1 where x; corresponds to the i-th entry of X and y; is the i-th entry of y. Note: the corresponding linear model is www. f(x) xTw where x, w are one-dimensional arrays of size n and f(x) is a number real. Add an example to test the implemented function def error_cuadrado(x, y, w): # complete the code