A line that fits the data is the best lineal aproximation for every point
this line must have 2 conditions
points are near the line, and there are points over and below the line
option A) have mostly points below of line
option B) have mostly points over
option C ) have a mix of points upper and lower
option D) is completely out of points
Then based on this information, one can conclude that option C) is the best fit for the data.