You estimated the following regression. What value would you predict for Y, if X = 47? (Round your final answer to zero decimal places.)         Source |       SS           df       MS      Number of obs   =       412 -------------+----------------------------------   F(1, 410)       >  99999.00        Model |  1.0479e+09         1  1.0479e+09   Prob > F        =    0.0000     Residual |  1194171.65       410  2912.61377   R-squared       =    0.9989 -------------+----------------------------------   Adj R-squared   =    0.9989        Total |  1.0491e+09       411  2552469.57   Root MSE        =    53.969   ------------------------------------------------------------------------------            Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval] -------------+----------------------------------------------------------------            X |   38.33473   .0639116   599.81   0.000     38.20909    38.46036        _cons |   30.69754   5.301749     5.79   0.000     20.27553    41.11954 ------------------------------------------------------------------------------

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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You estimated the following regression. What value would you predict for Y, if X = 47? (Round your final answer to zero decimal places.)

 

      Source |       SS           df       MS      Number of obs   =       412

-------------+----------------------------------   F(1, 410)       >  99999.00

       Model |  1.0479e+09         1  1.0479e+09   Prob > F        =    0.0000

    Residual |  1194171.65       410  2912.61377   R-squared       =    0.9989

-------------+----------------------------------   Adj R-squared   =    0.9989

       Total |  1.0491e+09       411  2552469.57   Root MSE        =    53.969

 

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

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

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

           X |   38.33473   .0639116   599.81   0.000     38.20909    38.46036

       _cons |   30.69754   5.301749     5.79   0.000     20.27553    41.11954

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