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.

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