You estimated the following regression. Source | SS df MS Number of obs = 117 -------------+---------------------------------- F(1, 115) = 0.06 Model | 2523.61281 1 2523.61281 Prob > F = 0.8003 Residual | 4513680.09 115 39249.3921 R-squared = 0.0006 -------------+---------------------------------- Adj R-squared = -0.0081 Total | 4516203.7 116 38932.7906 Root MSE = 198.11 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 40.18036 158.4597 0.25 0.800 -273.6979 354.0586 _cons | -556.9531 11761.12 -0.05 0.962 -23853.48 22739.57 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 11761.12 + 158.46*X Y = -556.95 + 40.18*X Y = 40.18 + -556.95*X Y = 158.46 + 11761.12*X
7.
You estimated the following regression.
Source | SS df MS Number of obs = 117
-------------+---------------------------------- F(1, 115) = 0.06
Model | 2523.61281 1 2523.61281 Prob > F = 0.8003
Residual | 4513680.09 115 39249.3921 R-squared = 0.0006
-------------+---------------------------------- Adj R-squared = -0.0081
Total | 4516203.7 116 38932.7906 Root MSE = 198.11
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 40.18036 158.4597 0.25 0.800 -273.6979 354.0586
_cons | -556.9531 11761.12 -0.05 0.962 -23853.48 22739.57
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
Y = 11761.12 + 158.46*X
Y = -556.95 + 40.18*X
Y = 40.18 + -556.95*X
Y = 158.46 + 11761.12*X
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