Imagine for a regression problem we have the line of best fit and we want to measure the distance of each point from the regression line. Mean squared error (MSE) is the statistical measure that would compute these deviations. MSE computes errors by finding the mean of the squares for each such deviations. The following shows the diagram for MSE:

Where i = 1, 2, 3...n