What is another word for method of least squares?
Pronunciation: [mˈɛθəd ɒv lˈiːst skwˈe͡əz] (IPA) 
The method of least squares, also referred to as least-squares regression, is a statistical technique used to evaluate the relationship between two variables and predict their future values. There are several other terms used to describe this method, including the method of best fit, least-squares approximation, and least-squares estimation. These terms all refer to the process of finding the line of best fit through a set of data points. The method of least squares is commonly used in fields such as economics, engineering, and physics to make predictions based on experimental data. This technique is particularly useful for analyzing data that has some level of noise or randomness, such as in financial markets or medical research.
