You estimated a regression with the following output.         Source |       SS           df       MS      Number of obs   =       423 -------------+----------------------------------   F(1, 421)       =    267.80        Model |  8758968.84         1  8758968.84   Prob > F        =    0.0000     Residual |  13769523.8       421  32706.7074   R-squared       =    0.3888 -------------+----------------------------------   Adj R-squared   =    0.3873        Total |  22528492.7       422  53385.0537   Root MSE        =    180.85   ------------------------------------------------------------------------------            Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval] -------------+----------------------------------------------------------------            X |   6.150402   .3758334    16.36   0.000     5.411658    6.889145        _cons |  -8.022201   24.02003    -0.33   0.739    -55.23632    39.19192 ------------------------------------------------------------------------------   Which of the following is the estimated regression line?   Group of answer choices Y =  24.02 +   0.38*X Y =   6.15 +  -8.02*X Y =  -8.02 +   6.15*X Y =   0.38 +  24.02*X

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.6: Exponential And Logarithmic Equations
Problem 70E
icon
Related questions
Question

You estimated a regression with the following output.

 

      Source |       SS           df       MS      Number of obs   =       423

-------------+----------------------------------   F(1, 421)       =    267.80

       Model |  8758968.84         1  8758968.84   Prob > F        =    0.0000

    Residual |  13769523.8       421  32706.7074   R-squared       =    0.3888

-------------+----------------------------------   Adj R-squared   =    0.3873

       Total |  22528492.7       422  53385.0537   Root MSE        =    180.85

 

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

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

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

           X |   6.150402   .3758334    16.36   0.000     5.411658    6.889145

       _cons |  -8.022201   24.02003    -0.33   0.739    -55.23632    39.19192

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

 

Which of the following is the estimated regression line?

 

Group of answer choices

Y =  24.02 +   0.38*X

Y =   6.15 +  -8.02*X

Y =  -8.02 +   6.15*X

Y =   0.38 +  24.02*X

 
 
 
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Recommended textbooks for you
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Calculus For The Life Sciences
Calculus For The Life Sciences
Calculus
ISBN:
9780321964038
Author:
GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:
Pearson Addison Wesley,
College Algebra
College Algebra
Algebra
ISBN:
9781305115545
Author:
James Stewart, Lothar Redlin, Saleem Watson
Publisher:
Cengage Learning