You estimated a regression with the following output. Source | SS df MS Number of obs = 213 -------------+---------------------------------- F(1, 211) = 4905.10 Model | 112084380 1 112084380 Prob > F = 0.0000 Residual | 4821474.15 211 22850.5884 R-squared = 0.9588 -------------+---------------------------------- Adj R-squared = 0.9586 Total | 116905854 212 551442.706 Root MSE = 151.16 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 25.44706 .3633405 70.04 0.000 24.73082 26.16331 _cons | 68.53346 32.19625 2.13 0.034 5.065942 132.001

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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10.1

You estimated a regression with the following output.

 

      Source |       SS           df       MS      Number of obs   =       213

-------------+----------------------------------   F(1, 211)       =   4905.10

       Model |   112084380         1   112084380   Prob > F        =    0.0000

    Residual |  4821474.15       211  22850.5884   R-squared       =    0.9588

-------------+----------------------------------   Adj R-squared   =    0.9586

       Total |   116905854       212  551442.706   Root MSE        =    151.16

 

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

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

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

           X |   25.44706   .3633405    70.04   0.000     24.73082    26.16331

       _cons |   68.53346   32.19625     2.13   0.034     5.065942     132.001

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

 

Which of the following is the estimated regression line?

 

Group of answer choices

Y =  32.20 +   0.36*X

Y =   0.36 +  32.20*X

Y =  25.45 +  68.53*X

Y =  68.53 +  25.45*X

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