Suppose we have the following data set. x y 1 0.24 11.94 2 -0.69 8.40 3 0.95 16.46 4 0.63 13.78 5 0.72 14.95 What is the least squares regression line for predicting y from x? You are given that ?(i=1 to 5) (x - x_bar)(y - y_bar) = 7.901 y_hat = 13.992 + 3.763x y_hat = 11.351 + 4.737x y_hat = 12.654 + 2.677x y_hat = 10.612 + 5.341x
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Sum of x = 1 + 2 + 3 + 4 + 5 = 15 Sum of y = 0.24 + 11.94 + 0.69 + 8 + 0.40 + 3 + 0.95 + 16.46 + 4 + 0.63 + 13.78 + 5 + 0.72 + 14.95 = 81.46 Sum of xy = (1)(0.24) + (2)(11.94) + (3)(0.69) + (4)(8) + (5)(0.40) + (3)(0.95) + (4)(16.46) + (5)(0.63) + (4)(13.78) + Show more…
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