Linear Regression, Data Science, Modeling, Ordinary Least Square, Regression.
residuals, let’s square and sum them. The purpose of squaring is to allow us to easily solve for the best value of our betas — we’ll get to that in section 3. sum_of_squares_python_style = np.sum(resid ** 2) In the above python code, we first square our residuals then we sum them. That works