You estimated a regression with the following output.         Source |       SS           df       MS      Number of obs   =       400 -------------+----------------------------------   F(1, 398)       =

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ISBN:9781938168383
Author:Jay Abramson
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Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
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3. 

You estimated a regression with the following output.

 

      Source |       SS           df       MS      Number of obs   =       400

-------------+----------------------------------   F(1, 398)       =    716.92

       Model |  22118655.1         1  22118655.1   Prob > F        =    0.0000

    Residual |  12279166.2       398  30852.1764   R-squared       =    0.6430

-------------+----------------------------------   Adj R-squared   =    0.6421

       Total |  34397821.3       399  86210.0784   Root MSE        =    175.65

 

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

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

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

           X |   5.299576   .1979268    26.78   0.000     4.910464    5.688689

       _cons |   67.86719    18.3827     3.69   0.000     31.72786    104.0065

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

 

Which of the following is the estimated regression line?

 

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Y =   0.20 +  18.38*X

Y =   5.30 +  67.87*X

Y =  67.87 +   5.30*X

Y =  18.38 +   0.20*X

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