The weight (in pounds) and height (in inches) for a
child were measured every few months over a two-
year period. The results are displayed in the
scatterplot
Height (Inches)
40
36
32
28
24
A Child's Weight and Height
20
6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42
Weight (Pounds)
The equation ý= 17.4+0.5x is called the least-
squares regression line because it

A)is least able to make accurate predictions for the
data.
B)makes the strongest association between weight
and height.
C)minimizes the sum of the squared distances from
the actual y-value to the predicted y-value.
D)maximizes the sum of the squared distances from
the actual y-value to the predicted y-value.