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What are the mathematical models of linearization?
Of course, regression analysis is the most commonly used. At present, linear regression is still commonly used, and it is often used to process some linearly related data, such as correlation coefficient and linear regression equation, which can be used as data reference.

Multivariate linear regression and polynomial regression are rarely used at present, unless professional statistics are involved.

There are also variance analysis, covariance analysis, and even T test and X 2 test of one-way analysis, but they are rarely used.

It is suggested that linear regression is generally used to process linearized data.