The sum of the squared residuals of the line of fit A is 2.12. The sum of the squared residuals of the line of fit B is 1.94. Which of the following statements best describes the lines?
Line A better fits the data.
Line B better fits the data.
Not enough information is given to compare the lines of fit.
The smaller sum of the squared residuals, or sum of the squared error, means there is less error when it comes to the line being from all the points. The regression line is closer to the points compared to line A.
