You estimated the following regression. What value would you predict for Y, if X = 75? (Round your final answer to zero decimal places.)         Source |       SS           df       MS      Number of obs   =       465 -------------+----------------------------------   F(1, 463)       =   1216.44        Model |  47091199.1         1  47091199.1   Prob > F        =    0.0000     Residual |  17923814.6       463  38712.3426   R-squared       =    0.7243 -------------+----------------------------------   Adj R-squared   =    0.7237        Total |  65015013.7       464  140118.564   Root MSE        =    196.75   ------------------------------------------------------------------------------            Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval] -------------+----------------------------------------------------------------            X |   43.09755   1.235684    34.88   0.000     40.66931     45.5258        _cons |   94.47785   70.98206     1.33   0.184    -45.00905    233.9648 ------------------------------------------------------------------------------

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 = 75? (Round your final answer to zero decimal places.)

 

      Source |       SS           df       MS      Number of obs   =       465

-------------+----------------------------------   F(1, 463)       =   1216.44

       Model |  47091199.1         1  47091199.1   Prob > F        =    0.0000

    Residual |  17923814.6       463  38712.3426   R-squared       =    0.7243

-------------+----------------------------------   Adj R-squared   =    0.7237

       Total |  65015013.7       464  140118.564   Root MSE        =    196.75

 

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

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

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

           X |   43.09755   1.235684    34.88   0.000     40.66931     45.5258

       _cons |   94.47785   70.98206     1.33   0.184    -45.00905    233.9648

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