You estimated a regression with the following output. Source | SS df MS Number of obs = 289 -------------+---------------------------------- F(1, 287) = 41986.64 Model | 664544048 1 664544048 Prob > F = 0.0000 Residual | 4542496.25 287 15827.5131 R-squared = 0.9932 -------------+---------------------------------- Adj R-squared = 0.9932 Total | 669086544 288 2323217.17 Root MSE = 125.81 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 43.81013 .2138056 204.91 0.000 43.38931 44.23096 _cons | 49.31707 16.96222 2.91 0.004 15.93094 82.70319 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 0.21 + 16.96*X Y = 49.32 + 43.81*X Y = 43.81 + 49.32*X Y = 16.96 + 0.21*X
You estimated a regression with the following output.
Source | SS df MS Number of obs = 289
-------------+---------------------------------- F(1, 287) = 41986.64
Model | 664544048 1 664544048 Prob > F = 0.0000
Residual | 4542496.25 287 15827.5131 R-squared = 0.9932
-------------+---------------------------------- Adj R-squared = 0.9932
Total | 669086544 288 2323217.17 Root MSE = 125.81
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 43.81013 .2138056 204.91 0.000 43.38931 44.23096
_cons | 49.31707 16.96222 2.91 0.004 15.93094 82.70319
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
Y = 0.21 + 16.96*X
Y = 49.32 + 43.81*X
Y = 43.81 + 49.32*X
Y = 16.96 + 0.21*X
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