Find the least-squares regression line y^=b0+b1x through the points (−1,2),(1,8),(6,13),(7,19),(10,23), and then use it to find point estimates y^ corresponding to x=1 and x=8 For x=1, y^ = For x=8, y^ =
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Find the least-squares regression line y^=b0+b1x through the points
and then use it to find point estimates y^ corresponding to x=1 and x=8
For x=1, y^ =
For x=8, y^ =
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- Find the least-squares regression line y^=b0+b1x through the points (−2,2),(3,6),(4,15),(8,20),(12,26) and then use it to find point estimates y^ corresponding to x=4 and x=8. For x=4, y^ = For x=8, y^ =Find the least-squares regression line ŷ =b0+b1x through the points (-1,2), (3,8),(4,13), (9,19),(11,23) and then use it to find point estimates ŷ y^ corresponding to x=2 and x=6. For x=2, ŷ = For x=6, ŷ =Find the coefficients for the least-squares regression line y^=b0+b1x through the points (−2,0),(2,6),(4,14),(9,20),(9,25) b0 =. b1 =
- Find the least-squares regression line y^ =b0+b1xy^=b0+b1x through the points (−3,1),(1,8),(6,13),(7,18),(12,27). For what value of is y^ =0? x =?Find the least regression line of (0, -3), (1, –1), (2, 1) and (3, 3)Find the least-squares regression line y^=b0+b1x through the points (−1,1),(1,8),(5,14),(8,20),(11,27) and then use it to find point estimates ?̂y^ corresponding to x=1 and x=6. For x=1, y^ = For x=6, y^ =
- Find the least squares regression line for the points. (0, 5), (3, 3), (5, 1), (7, -4), (9, -5) 1.) y =Find the least-squares regression line y^=b0+b1xy^=b0+b1x through the points (−1,1),(1,9),(4,13),(9,19),(11,27),(−1,1),(1,9),(4,13),(9,19),(11,27), and then use it to find point estimates y^y^ corresponding to x=2x=2 and x=7x=7. For x=2x=2, y^y^ = For x=7x=7, y^y^ =Find the regression line associated with the set points (7,8),(8,8)(9,9)
- Find the equation y = Bo + B1x of the least-squares line that best fits the given data points. (0,1), (1,1), (2,5), (3,5) The line is y =+ (Ox. (Type integers or decimals.)The equation of the least squares linear regression line of the following points (0,25) , (2,20), (3,13), (5,11) and (9,5) is * y_hat = 23.10 - 2.18x y_hat = 23.10 + 2.18x y_hat = - 23.10 - 2.18x y_hat = -23.10 + 2.18xFind the least-squares regression line ?̂=?0+?1?y^=b0+b1x through the points (−3,2),(3,9),(5,13),(8,20),(11,27),(−3,2),(3,9),(5,13),(8,20),(11,27), and then use it to find point estimates ?̂y^ corresponding to ?=3x=3 and ?=8x=8.For this problem and to give you practice for the test, use the shortcut method to find ?0b0 given that ?1=1.79255319148936b1=1.79255319148936. For ?=3x, ?̂ = For ?=8x, ?̂ =