The equation of the line hat y is equal to negative 14 point 7 plus 1 point 5 9 x is called the least-squares regression line because it

A least-squares regression line is chosen to minimize the sum of the squared vertical residuals, where each residual is the difference between an observed value and the value predicted by the line. Therefore, it minimizes the sum of the squared vertical distances from the data points to the line. It does not necessarily pass through every data point.

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