You estimated a regression with the following output. Source | SS df MS Number of obs = 472 -------------+---------------------------------- F(1, 470) > 99999.00 Model | 2.2728e+09 1 2.2728e+09 Prob > F = 0.0000 Residual | 4246681.85 470 9035.4933 R-squared = 0.9981 -------------+---------------------------------- Adj R-squared = 0.9981 Total | 2.2771e+09 471 4834590.83 Root MSE = 95.055 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 29.84419 .0595046 501.54 0.000 29.72726 29.96112 _cons | 88.27799 7.592427 11.63 0.000 73.35868 103.1973 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 88.28 + 29.84*X Y = 0.06 + 7.59*X Y = 29.84 + 88.28*X Y = 7.59 + 0.06*X
You estimated a regression with the following output.
Source | SS df MS Number of obs = 472
-------------+---------------------------------- F(1, 470) > 99999.00
Model | 2.2728e+09 1 2.2728e+09 Prob > F = 0.0000
Residual | 4246681.85 470 9035.4933 R-squared = 0.9981
-------------+---------------------------------- Adj R-squared = 0.9981
Total | 2.2771e+09 471 4834590.83 Root MSE = 95.055
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 29.84419 .0595046 501.54 0.000 29.72726 29.96112
_cons | 88.27799 7.592427 11.63 0.000 73.35868 103.1973
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
Y = 88.28 + 29.84*X
Y = 0.06 + 7.59*X
Y = 29.84 + 88.28*X
Y = 7.59 + 0.06*X
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