Least Squares Fitting

Least Squares Fitting is a method used to find the best possible line or curve that describes the relationship between two sets of data points. It works by minimizing the total of the squared differences between the actual data points and the points on the fitted line or curve. This minimization ensures the overall gap between the model and data is as small as possible, providing a smooth and representative trend. It's widely used in statistics and data analysis to create models that summarize data and make predictions.