The coefficients of the least squares regression line are determined by minimizing the sum of the squares of the
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The least squares method is a statistical procedure to find the best fit for a set of data points by minimizing the sum of the offsets or residuals of points from the plotted curve. Least squares regression is used to predict the behavior of dependent variables.
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