linear regression

Given $X$ and $y$, predict values for $X-test$ and $y-test$ using the normal equation for linear regression. You can do matrix operations this way: matrix transpose: A.T where X is a matrix matrix dot product/multiplication: np.dot(A,B), where A and B are two matrices matrix inverse: np.linalg.inv(A) where A is a matrix ### Input Take input for matrix $X$, $y$, $X-test$ subsequently. a matri