Regression (LR and MLR) and differences, not for the Economy. Professional analyst should be able to answer these three questions.

To produce a regression analysis of inference that can be justified or trustworthy in the sense that helpful. The term in the statistical methods that generate a linear the best estimator is not bias (best linear unbiased estimator) abbreviated BLUE. Then there are some other things that are also important to note, in which the data to be processed, must meet certain requirements. Must meet the assumptions of single colinearity, meaning between independent variables with each independent variable others in the regression model no multicollinearity, is a condition where there is a linear relationship was perfect or near perfect between the independent variables. Must meet homoscedasticity assumptions, it means a state where the variance the existing data on every variable must be the same (constant).