In this first lecture, we introduce linear regression, where one variable called the independent variable is regressed on another variable called the dependent variable. Linear regression is the building block of a model when it comes to cross-sectional data. The rule of the disturbance term is also discussed in line with the error term calculated from a particular sample drawn from a population; the main section of this lecture will be presented as follows:
Defining linear regression and its importance in prediction.
Discussing the different assumptions about this simple model.
Briefly discussing the methods of estimation, especially the method of least squares.
- معلم: mouhcene Hamrit