Answer:
False
Explanation:
Residuals are the measure of the error in the fit. The square of their sum gives no weight to the sign of the error, but gives greater weight to larger errors. The fit will be better when the error is smaller. In this scenario, Line B is a better fit.
The statement that Line A better fits the data is FALSE.