The statistical software output for this problem is :
For x = 5 y hat = 13.4
For x = 9 y hat = 21.017
(3 points) Find the least-squares regression line û = bo + b1x through the points (-1,2),...
(267 points) Find the least-squares regression line û = bo + b1x through the points (-3,0),(2,8), (4, 15), (8, 18), (11,27), and then use it to find point estimates corresponding to x = 4 and x = = 8. For x = : 4, û = For x = 8, ĝ=
(1 point) Find the least-squares regression line û = bo + b x through the points (-2,0), (1,6), (6, 15), (9, 18), (12, 23), and then use it to find point estimates ŷ corresponding to x = 1 and x = 8. For x = 1, y For x = 8, y =
(1 point) Find the least-squares regression line ý = b + b 2 through the points (-2,0), (1,7), (6, 15), (7, 20), (9, 24). For what value of I is ŷ = 0?
(1 point) Find the least-squares regression line y = bo + by a through the points (-3,1), (2,9), (5, 14), (9, 18), (9,24). For what value of x is y=0?
(2 points) Find the least-squares regression line y = bo +b x through the points (-2,0), (2,9), (6, 13), (8, 20), (10,27). For what value of x is 9 = 0?
(1 point) Find the least squares regression line y = bo + bar through the points (-3,1),(2,9), (5, 14), (9, 18), (9,24). For what value of x is ý = 0?
(1 point) Find the least-squares regression line ý = bp + biz through the points (-2,0),(2,7),(5,13), (8, 18), (11,27), and then use it to find point estimates y corresponding to r = 4 and 3 = 9. For x = 4, y = For x = 9,4 =
Prove that the fitted least squares line, û = Bo + Bix, will always pass through the point (x,y), where i and ý are sample averages.
Ch2 Sec4: Problem 1 Previous Problem List Next (1 point) Find the least-squares regression line y bo + bix through the points (-3,2), (3,9), 6. 15),9,. 18), (12,23), and then use it to find point estimates y corresponding to x = 2 and x = 9. For x -2, y- For x = 9.9= Note: In order to get credit for this problem all answers must be correct. Submlt Answens Preview My Answers You have attempted this problem 0 times....
Find the least squares regression line for the points. Use the regression capabilities of a graphing utility to verify your results. (0,4), (1, 5), (3, 6), (6,9), (8, 10) ya Use the graphing utility to plot the points and graph the regression line. у y 12 12 10 10 8 6A 2 2 2 + 6 8 10 6 8 10 y 12 y 12 10 10 8 2 8 6 10 В 2 10