The equation ý = 17.4 +0.5x is called the least-
squares regression line because it
O is least able to make accurate predictions for the
data.
O makes the strongest association between weight
and height.
O minimizes the sum of the squared distances from
the actual y-value to the predicted y-value.
O maximizes the sum of the squared distances from
the actual y-value to the predicted y-value.