Question 4 1 pts (X-Xbar) (Y-Ybar) (X-Xbar)^2 XY-Ybar)^2 (x-Xbar)(Y-Ybar) 1 0.1247 10.0462 0.02525 0.000283 0.000638 8.03E-0B 7.15417E-06 2 0.0408 0.0305 -0.05865 -0.01542 0.00344 0.000238 0.000904188 3 0.1781 0.1078 0.07865 0.061883 0.006186 0.00383 0.004867124 4 0.0585 0.0199 -0.04095 -0.02602 0.001677 0.000677 0 001065383 5 0.1293 0.0418 0.02985 -0.00412 0.000891 1.69E-OS -0.000122883 6 0.0653 0.0293 -0.03415 -0.01662 0.001166 0.000276 0.000567459 Sum 0.5967 0.2755 0 0.00 0.013997 0.005037 0.007288425 Using the data in the table above. If we run a simple linear regression, Y, = 6 + 6, X. +ci, the intercept coefficient. Do, for the estimated linear regression is: 0.5207 -0.00587 0.3994 14469