Total points 30 points Question 1: [10 points] Use least-squares regression to fit a straight line to Along with the slope and intercept, compute the standard error of the estimate and the correlation coefficient. Use least-squares regression to fit a straight line, y = a + bx, to X V 2 9 3 6 4 5 7 10 8 9 9 11 (a) Use least-squares regression to fit a straight line, y = a + bx. (b) Compute Sy/x (c) Compute correlation coefficient. 5 2 a)- [3, 8] b)- [4, 7]. c)- Compare the relative percentage error for both estimation 5 3 Question 2: [10 points] Use data given in question 1, fit a quadratic polynomial, y = a + bx + cx, to the data. Compare it with results in question 1. Question 3: [10 points] Use Newton's linear interpolation to estimate f(6), use the data given in problem 1 for interval