The estimated regression line is the line that minimizes the sum of the squares of the distances from the given points to the line.

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The estimated regression line, also known as the line of best fit, is determined by minimizing the sum of the squares of the vertical distances (residuals) between the observed values and the values predicted by the line. This method is known as the least squares criterion.

The Estimated Regression Line Is the Line That Minimizes the Sum