PROBLEM 2 Using the data as in Problem 1, calculate: A. The coefficients for the straight line that best fits the data, using the least squares method. B. Write down the equation for the line you have drawn C. Find the sum of errors squared and compare result with result from Problem 1. 11 10 X Y S 160 2 7 100 3.5 70 4.5 50 8.5 30 9.5 20 10 20 40 GO 80 X 100 120 140 160 180 X Y y - y SS XY SSxx SSyr Y' Y-Y' (Y- Y')12 160 2 100 3.5 70 4.5 50 8.5 30 9.5 20 10 Sum Avg. A. The coefficients for the straight line that best fits the data b = SSxv/SSxx = a=y - bx = B. Regression line equation C. Comparison of results from Problem 1