Normal equations are a set of equations derived from the least squares method, used to find the best-fitting line for a given set of data points by minimizing the sum of the squares of the differences between the observed and predicted values. They play a crucial role in linear regression analysis, providing a systematic way to estimate the coefficients of the model that best approximate the relationship between variables.
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