Least squares is a mathematical approach used to minimize the sum of the squares of the residuals, which are the differences between observed and predicted values. This technique is often utilized in regression analysis to estimate the parameters of a model, providing a best-fit line that represents the relationship between variables. Its effectiveness makes it a fundamental concept in statistics, particularly in contexts requiring data fitting and modeling.
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