You estimated a regression with the following output. Source | SS df MS Number of obs = 270 -------------+---------------------------------- F(1, 268) = 97.02 Model | 1731281.15 1 1731281.15 Prob > F = 0.0000 Residual | 4782567.09 268 17845.3996 R-squared = 0.2658 -------------+---------------------------------- Adj R-squared = 0.2630 Total | 6513848.23 269 24215.0492 Root MSE = 133.59 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 4.913154 .4988152 9.85 0.000 3.931059 5.895249 _cons | 68.93657 45.66187 1.51 0.132 -20.96505 158.8382 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 68.94 + 4.91*X Y = 4.91 + 68.94*X Y = 0.50 + 45.66*X Y = 45.66 + 0.50*X
You estimated a regression with the following output. Source | SS df MS Number of obs = 270 -------------+---------------------------------- F(1, 268) = 97.02 Model | 1731281.15 1 1731281.15 Prob > F = 0.0000 Residual | 4782567.09 268 17845.3996 R-squared = 0.2658 -------------+---------------------------------- Adj R-squared = 0.2630 Total | 6513848.23 269 24215.0492 Root MSE = 133.59 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 4.913154 .4988152 9.85 0.000 3.931059 5.895249 _cons | 68.93657 45.66187 1.51 0.132 -20.96505 158.8382 ------------------------------------------------------------------------------
Which of the following is the estimated regression line? Group of answer choices Y = 68.94 + 4.91*X Y = 4.91 + 68.94*X Y = 0.50 + 45.66*X Y = 45.66 + 0.50*X
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