## Tutorial 1: Introduction to the Linear Regression Line

The linear regression line is the common starting point for econometric analysis. It shows the impact of one or more independent variables on a dependent variable. This tutorial introduces the basic concepts and components of a linear regression line. The regression line typically take the form:

Yi = β0 + β1Xi + εi

Where Yi is the dependent variable, Xi is the independent variable (note that there can be more than one independent variable), β0 is the intercept term, β1 is the slope coefficient associated with Xi and εi is the random error term. β0 shows the value of Yi when Xi is zero.

β1 shows the impact of a one unit change in Xi on Yi. More details on the linear regression model and its estimation are discussed in the below video tutorial.

Yi = β0 + β1Xi + εi

Where Yi is the dependent variable, Xi is the independent variable (note that there can be more than one independent variable), β0 is the intercept term, β1 is the slope coefficient associated with Xi and εi is the random error term. β0 shows the value of Yi when Xi is zero.

β1 shows the impact of a one unit change in Xi on Yi. More details on the linear regression model and its estimation are discussed in the below video tutorial.