Linear Regression, Statistics, Machine Learning, Data Science, Technology.
referred to as fitted values. This difference between the real and predicted values of dependent variable Y is referred to as residual and what OLS does, is minimize the sum of squared residuals. This optimization problem results in the following OLS estimates for the unknown parameters β0 and β1,