You estimated a regression with the following output. Source | SS df MS Number of obs = 389 -------------+---------------------------------- F(1, 387) = 52779.08 Model | 514021570 1 514021570 Prob > F = 0.0000 Residual | 3769038.12 387 9739.11659 R-squared = 0.9927 -------------+---------------------------------- Adj R-squared = 0.9927 Total | 517790608 388 1334511.88 Root MSE = 98.687 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 20.14493 .0876869 229.74 0.000 19.97253 20.31733 _cons | 105.6206 9.345057 11.30 0.000 87.24716 123.994 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 9.35 + 0.09*X Y = 20.14 + 105.62*X Y = 105.62 + 20.14*X Y = 0.09 + 9.35*X

MATLAB: An Introduction with Applications
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You estimated a regression with the following output. Source | SS df MS Number of obs = 389 -------------+---------------------------------- F(1, 387) = 52779.08 Model | 514021570 1 514021570 Prob > F = 0.0000 Residual | 3769038.12 387 9739.11659 R-squared = 0.9927 -------------+---------------------------------- Adj R-squared = 0.9927 Total | 517790608 388 1334511.88 Root MSE = 98.687 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 20.14493 .0876869 229.74 0.000 19.97253 20.31733 _cons | 105.6206 9.345057 11.30 0.000 87.24716 123.994 ------------------------------------------------------------------------------ Which of the following is the estimated regression line?

Group of answer choices

Y = 9.35 + 0.09*X

Y = 20.14 + 105.62*X

Y = 105.62 + 20.14*X

Y = 0.09 + 9.35*X

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