Least Square Method

The Least Squares Method (LSM) is a statistical technique used to find the best-fitting line or curve to a set of data points by minimizing the sum of the squares of the differences (residuals) between the observed and predicted values. It is commonly used in regression analysis, where the goal is to model the relationship between a dependent variable and _________ _____ ______ ___ _____ _____ _________ ____ ___ _____ ___.
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