You estimated a regression with the following output. Source | SS df MS Number of obs = 335 -------------+---------------------------------- F(1, 333) = 69555.83 Model | 211169628 1 211169628 Prob > F = 0.0000 Residual | 1010979.01 333 3035.97301 R-squared = 0.9952 -------------+---------------------------------- Adj R-squared = 0.9952 Total | 212180607 334 635271.28 Root MSE = 55.1 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 44.15183 .1674102 263.73 0.000 43.82251 44.48114 _cons | 31.63715 16.49849 1.92 0.056 -.8172452 64.09155 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 0.17 + 16.50*X Y = 31.64 + 44.15*X Y = 16.50 + 0.17*X Y = 44.15 + 31.64*X
You estimated a regression with the following output.
Source | SS df MS Number of obs = 335
-------------+---------------------------------- F(1, 333) = 69555.83
Model | 211169628 1 211169628 Prob > F = 0.0000
Residual | 1010979.01 333 3035.97301 R-squared = 0.9952
-------------+---------------------------------- Adj R-squared = 0.9952
Total | 212180607 334 635271.28 Root MSE = 55.1
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 44.15183 .1674102 263.73 0.000 43.82251 44.48114
_cons | 31.63715 16.49849 1.92 0.056 -.8172452 64.09155
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
Y = 0.17 + 16.50*X
Y = 31.64 + 44.15*X
Y = 16.50 + 0.17*X
Y = 44.15 + 31.64*X
Step by step
Solved in 2 steps
