Which of the following best describes why the
equation ŷ = 11.4-0.0966x is called the least-squares
regression line?
OIt maximizes the sum of the squared residuals.
OIt minimizes the sum of the squared residuals.
OIt has the least predictive qualities for the data.
OIt passes through each data point.