What is Mean Square Error?
The Mean squared error tells you how close a regression line is to a set of points. It does this by squaring the distances from the ends to the regression line (these distances are the "Errors").
The line equation is y=Mx+B.
We want to find M(slope) and B(y-intercept) that minimizes the squared error.
Equation:
