You estimated a regression with the following output. Source | SS df MS Number of obs = 248 -------------+---------------------------------- F(1, 246) > 99999.00 Model | 1.2864e+09 1 1.2864e+09 Prob > F = 0.0000 Residual | 980713.166 246 3986.63889 R-squared = 0.9992 -------------+---------------------------------- Adj R-squared = 0.9992 Total | 1.2874e+09 247 5212005.66 Root MSE = 63.14 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 38.34444 .0675026 568.04 0.000 38.21148 38.4774 _cons | 49.99803 5.986441 8.35 0.000 38.20681 61.78925 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 5.99 + 0.07*X Y = 50.00 + 38.34*X Y = 38.34 + 50.00*X Y = 0.07 + 5.99*X
You estimated a regression with the following output.
Source | SS df MS Number of obs = 248
-------------+---------------------------------- F(1, 246) > 99999.00
Model | 1.2864e+09 1 1.2864e+09 Prob > F = 0.0000
Residual | 980713.166 246 3986.63889 R-squared = 0.9992
-------------+---------------------------------- Adj R-squared = 0.9992
Total | 1.2874e+09 247 5212005.66 Root MSE = 63.14
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 38.34444 .0675026 568.04 0.000 38.21148 38.4774
_cons | 49.99803 5.986441 8.35 0.000 38.20681 61.78925
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
Y = 5.99 + 0.07*X
Y = 50.00 + 38.34*X
Y = 38.34 + 50.00*X
Y = 0.07 + 5.99*X
Step by step
Solved in 2 steps