You estimated the following regression. Which of the following is the estimated regression line? Source | SS df MS Number of obs = 204 -------------+---------------------------------- F(1, 202) > 99999.00 Model | 737255757 1 737255757 Prob > F = 0.0000 Residual | 658774.415 202 3261.25948 R-squared = 0.9991 -------------+---------------------------------- Adj R-squared = 0.9991 Total | 737914532 203 3635046.96 Root MSE = 57.107 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 29.45311 .0619462 475.46 0.000 29.33097 29.57526 _cons | 91.20275 7.389633 12.34 0.000 76.63203 105.7735 ------------------------------------------------------------------------------ Group of answer choices Y = 7.39 + 0.06*X Y = 91.20 + 29.45*X Y = 0.06 + 7.39*X Y = 29.45 + 91.20*X

MATLAB: An Introduction with Applications
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You estimated the following regression. Which of the following is the estimated regression line? Source | SS df MS Number of obs = 204 -------------+---------------------------------- F(1, 202) > 99999.00 Model | 737255757 1 737255757 Prob > F = 0.0000 Residual | 658774.415 202 3261.25948 R-squared = 0.9991 -------------+---------------------------------- Adj R-squared = 0.9991 Total | 737914532 203 3635046.96 Root MSE = 57.107 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 29.45311 .0619462 475.46 0.000 29.33097 29.57526 _cons | 91.20275 7.389633 12.34 0.000 76.63203 105.7735 ------------------------------------------------------------------------------

Group of answer choices

Y = 7.39 + 0.06*X

Y = 91.20 + 29.45*X

Y = 0.06 + 7.39*X

Y = 29.45 + 91.20*X

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