Linear regression estimates how much variable Y changes with every unit of change in X. The general linear regression equation is represented as follows:
Y = a + bX
Where, X is the independent explanatory variable and Y is the dependent variable. The line has a slope b, and a is the intercept, that is the value of y when x=0.
The following video by Bionic Turtle explains the concept of linear regression in detail.