You estimated a regression with the following output. Source | SS df MS Number of obs = 223 -------------+---------------------------------- F(1, 221) = 17592.99 Model | 182392130 1 182392130 Prob > F = 0.0000 Residual | 2291176.96 221 10367.3166 R-squared = 0.9876 -------------+---------------------------------- Adj R-squared = 0.9875 Total | 184683307 222 831906.786 Root MSE = 101.82 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 11.97037 .0902481 132.64 0.000 11.79252 12.14823 _cons | 74.40159 10.96696 6.78 0.000 52.78839 96.01479
You estimated a regression with the following output.
Source | SS df MS Number of obs = 223
-------------+---------------------------------- F(1, 221) = 17592.99
Model | 182392130 1 182392130 Prob > F = 0.0000
Residual | 2291176.96 221 10367.3166 R-squared = 0.9876
-------------+---------------------------------- Adj R-squared = 0.9875
Total | 184683307 222 831906.786 Root MSE = 101.82
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 11.97037 .0902481 132.64 0.000 11.79252 12.14823
_cons | 74.40159 10.96696 6.78 0.000 52.78839 96.01479
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
Y = 10.97 + 0.09*X
Y = 0.09 + 10.97*X
Y = 74.40 + 11.97*X
Y = 11.97 + 74.40*X
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