You estimated a regression with the following output. Source | SS df MS Number of obs = 255 -------------+---------------------------------- F(1, 253) = 4.83 Model | 128233.55 1 128233.55 Prob > F = 0.0290 Residual | 6723810.83 253 26576.3274 R-squared = 0.0187 -------------+---------------------------------- Adj R-squared = 0.0148 Total | 6852044.38 254 26976.5527 Root MSE = 163.02 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 9.194954 4.185971 2.20 0.029 .9511664 17.43874 _cons | -173.4456 411.4049 -0.42 0.674 -983.6602 636.7689 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 9.19 + -173.45*X Y = -173.45 + 9.19*X Y = 411.40 + 4.19*X Y = 4.19 + 411.40*X
5.5
You estimated a regression with the following output.
Source | SS df MS Number of obs = 255
-------------+---------------------------------- F(1, 253) = 4.83
Model | 128233.55 1 128233.55 Prob > F = 0.0290
Residual | 6723810.83 253 26576.3274 R-squared = 0.0187
-------------+---------------------------------- Adj R-squared = 0.0148
Total | 6852044.38 254 26976.5527 Root MSE = 163.02
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 9.194954 4.185971 2.20 0.029 .9511664 17.43874
_cons | -173.4456 411.4049 -0.42 0.674 -983.6602 636.7689
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
Y = 9.19 + -173.45*X
Y = -173.45 + 9.19*X
Y = 411.40 + 4.19*X
Y = 4.19 + 411.40*X
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