You estimated the following regression. What value would you predict for Y, if X = 42? (Round your final answer to zero decimal places.)         Source |       SS           df       MS      Number of obs   =       303 -------------+----------------------------------   F(1, 301)       =  52790.25        Model |   510753802         1   510753802   Prob > F        =    0.0000     Residual |  2912221.36       301  9675.15401   R-squared       =    0.9943 -------------+----------------------------------   Adj R-squared   =    0.9943        Total |   513666023       302  1700880.87   Root MSE        =    98.362   ------------------------------------------------------------------------------            Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval] -------------+----------------------------------------------------------------            X |   17.14603   .0746254   229.76   0.000     16.99918    17.29289        _cons |   56.37208   8.600915     6.55   0.000     39.44655    73.29762

ENGR.ECONOMIC ANALYSIS
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ISBN:9780190931919
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Chapter1: Making Economics Decisions
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You estimated the following regression. What value would you predict for Y, if X = 42? (Round your final answer to zero decimal places.)

 

      Source |       SS           df       MS      Number of obs   =       303

-------------+----------------------------------   F(1, 301)       =  52790.25

       Model |   510753802         1   510753802   Prob > F        =    0.0000

    Residual |  2912221.36       301  9675.15401   R-squared       =    0.9943

-------------+----------------------------------   Adj R-squared   =    0.9943

       Total |   513666023       302  1700880.87   Root MSE        =    98.362

 

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

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

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

           X |   17.14603   .0746254   229.76   0.000     16.99918    17.29289

       _cons |   56.37208   8.600915     6.55   0.000     39.44655    73.29762

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