The manager of a company wants to accurately predict the increase in the number of products sold per year. The table and graph show information the company collected. Using the information, the company fit the given line to the data. Which statement best describes the use of residuals in determining how the graph of the function fits the data?
A: Since the majority of the residual errors are negative, the graph of the line is not close to the line of best fit.
B: Since the sum of the squares of the residual errors is 285, a large number, the graph of the line is close to the line of best fit.
C:
Since the majority of the residual errors are positive, the graph of the line is close to the line of best fit.
D: Since the sum of the squares of the residual errors is 285, a large number, the graph of the line is not close to the line of best fit.