You estimated the following regression. What value would you predict for Y, if X = 74? (Round your final answer to zero decimal places.)         Source |       SS           df       MS      Number of obs   =       476 -------------+----------------------------------   F(1, 474)       =   3933.56        Model |  76614449.3         1  76614449.3   Prob > F        =    0.0000     Residual |  9232151.42       474  19477.1127   R-squared       =    0.8925 -------------+----------------------------------   Adj R-squared   =    0.8922        Total |  85846600.7       475  180729.686   Root MSE        =    139.56   ------------------------------------------------------------------------------            Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval] -------------+----------------------------------------------------------------            X |   28.17487   .4492301    62.72   0.000     27.29214     29.0576        _cons |   123.6065   41.35703     2.99   0.003     42.34072    204.8723 ------------------------------------------------------------------------------

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14.1

You estimated the following regression. What value would you predict for Y, if X = 74? (Round your final answer to zero decimal places.)

 

      Source |       SS           df       MS      Number of obs   =       476

-------------+----------------------------------   F(1, 474)       =   3933.56

       Model |  76614449.3         1  76614449.3   Prob > F        =    0.0000

    Residual |  9232151.42       474  19477.1127   R-squared       =    0.8925

-------------+----------------------------------   Adj R-squared   =    0.8922

       Total |  85846600.7       475  180729.686   Root MSE        =    139.56

 

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

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

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

           X |   28.17487   .4492301    62.72   0.000     27.29214     29.0576

       _cons |   123.6065   41.35703     2.99   0.003     42.34072    204.8723

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

 

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