A certain standardized test measures students’ knowledge in math and English. The scatterplot displays the scores for 10 randomly selected students.


The equation y = 54.16 + 0.87x is called the least-squares regression line because it:


is least able to make accurate predictions for the data.

makes the sum of the squared residuals as large as possible.

makes the sum of the squared residuals as small as possible.

causes the relationship between English scores and math scores to be strongest.