You estimated a regression with the following output. Source | SS df MS Number of obs = 356 -------------+---------------------------------- F(1, 354) > 99999.00 Model | 1.0091e+09 1 1.0091e+09 Prob > F = 0.0000 Residual | 1835714.02 354 5185.63282 R-squared = 0.9982 -------------+---------------------------------- Adj R-squared = 0.9982 Total | 1.0110e+09 355 2847776.86 Root MSE = 72.011 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 33.61158 .0761934 441.14 0.000 33.46173 33.76143 _cons | 81.0207 7.650005 10.59 0.000 65.97553 96.06587 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 0.08 + 7.65*X Y = 33.61 + 81.02*X Y = 81.02 + 33.61*X Y = 7.65 + 0.08*X
9.9
You estimated a regression with the following output.
Source | SS df MS Number of obs = 356
-------------+---------------------------------- F(1, 354) > 99999.00
Model | 1.0091e+09 1 1.0091e+09 Prob > F = 0.0000
Residual | 1835714.02 354 5185.63282 R-squared = 0.9982
-------------+---------------------------------- Adj R-squared = 0.9982
Total | 1.0110e+09 355 2847776.86 Root MSE = 72.011
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 33.61158 .0761934 441.14 0.000 33.46173 33.76143
_cons | 81.0207 7.650005 10.59 0.000 65.97553 96.06587
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
Y = 0.08 + 7.65*X
Y = 33.61 + 81.02*X
Y = 81.02 + 33.61*X
Y = 7.65 + 0.08*X
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