An algorithm is often averaged to be analyzed so it is necessary to determine several parameters. In order to determine these parameters automatically, we utilize the linear regression to predict the target variable between the dependent and independent one.The best fit is done by making sure that the sum of all the distances between the shape and the actual observations at each point is as small as possible.
