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Find the least squares regression line for the points.
1.) y =
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- Find the least squares regression line for the given points. (−4,−1),(−2,0),(2,4),(4,5)Use the general equation for the least square regression line to show that this line always passes through the point (x,y) * bars above the x and y.That is, set x=x(with a bar above the x) and show that the line predicts that y=y (with a bar above the y).Consider the points (1, 1), (2, 3), (−3, 1). Find the least squares regression line.
- Find the least squares regression line.(−2, 0), (−1, 1), (0, 1), (1, 2)Find the least square regression line for set of points {(1,3), (2,4), (3,4), (4,6)}For a least squares regression line, the sum of the residuals is __________. always negative sometimes positive and sometimes negative always zero always positive
- 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 square regression line.Find the least squares regression line for the data points. (Let x be the independent variable and y be the dependent variable.)(−1, 0), (1, −1), (3, −3)