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The least squares regression line is constructed in such a way as to keep the

Value of R-squared as small as possible.

Sum of the squares, formed by the vertical distance between observed and expected values, as small as possible.

Sum of the squares, formed by the horizontal distance between observed and expected values, as small as possible.

Residuals as small as possible.

Regression line as close as possible to any regression outliers.