First some definitions regarding econometrics, regressions, types of data and independent and dependent variables are given. Then the basic function of a simple regression analysis is explained. Lastly, there is discussion of the meaning of the error term.

First some terminology is explained. Then the interpretations of the coefficients and constants of the function are discussed. Afterwards the zero conditional mean assumption regarding the residual is problematized. Lastly, a graphical representation of a regression line is given and the least sum of squared errors is introduced and the equation for the coefficient of the linear function as well as for the intercept is given.