ou estimated a regression with the following output.         Source |       SS           df       MS      Number of obs   =       253 -------------+----------------------------------   F(1, 251)       =    373.64        Model |  10755258.4         1  10755258.4   Prob > F        =    0.0000     Residual |  7225092.24       251  28785.2281   R-squared       =    0.5982 -------------+----------------------------------   Adj R-squared   =    0.5966        Total |  17980350.7       252  71350.5978   Root MSE        =    169.66   ------------------------------------------------------------------------------            Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval] -------------+----------------------------------------------------------------            X |   11.18409   .5785958    19.33   0.000     10.04457    12.32362        _cons |  -24.65271   50.81314    -0.49   0.628    -124.7272    75.42176 ------------------------------------------------------------------------------   Which of the following is the estimated regression line?   Group of answer choices Y =   0.58 +  50.81*X Y =  11.18 + -24.65*X Y = -24.65 +  11.18*X Y =  50.81 +   0.58*X

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
icon
Related questions
Question

You estimated a regression with the following output.

 

      Source |       SS           df       MS      Number of obs   =       253

-------------+----------------------------------   F(1, 251)       =    373.64

       Model |  10755258.4         1  10755258.4   Prob > F        =    0.0000

    Residual |  7225092.24       251  28785.2281   R-squared       =    0.5982

-------------+----------------------------------   Adj R-squared   =    0.5966

       Total |  17980350.7       252  71350.5978   Root MSE        =    169.66

 

------------------------------------------------------------------------------

           Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]

-------------+----------------------------------------------------------------

           X |   11.18409   .5785958    19.33   0.000     10.04457    12.32362

       _cons |  -24.65271   50.81314    -0.49   0.628    -124.7272    75.42176

------------------------------------------------------------------------------

 

Which of the following is the estimated regression line?

 

Group of answer choices

Y =   0.58 +  50.81*X

Y =  11.18 + -24.65*X

Y = -24.65 +  11.18*X

Y =  50.81 +   0.58*X

 
 
 
Expert Solution
steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
College Algebra
College Algebra
Algebra
ISBN:
9781938168383
Author:
Jay Abramson
Publisher:
OpenStax