You estimated the following regression. What value would you predict for Y, if X = 45? (Round your final answer to zero decimal places.)         Source |       SS           df       MS      Number of obs   =       322 -------------+----------------------------------   F(1, 320)       >  99999.00        Model |  2.2028e+09         1  2.2028e+09   Prob > F        =    0.0000     Residual |  2435163.97       320   7609.8874   R-squared       =    0.9989 -------------+----------------------------------   Adj R-squared   =    0.9989        Total |  2.2053e+09       321  6870018.07   Root MSE        =    87.235   ------------------------------------------------------------------------------            Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval] -------------+----------------------------------------------------------------            X |   39.42999   .0732865   538.02   0.000     39.28581    39.57418        _cons |   18.58187   7.492923     2.48   0.014     3.840261    33.32349 ------------------------------------------------------------------------------

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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Author:Bruce Crauder, Benny Evans, Alan Noell
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20.1

You estimated the following regression. What value would you predict for Y, if X = 45? (Round your final answer to zero decimal places.)

 

      Source |       SS           df       MS      Number of obs   =       322

-------------+----------------------------------   F(1, 320)       >  99999.00

       Model |  2.2028e+09         1  2.2028e+09   Prob > F        =    0.0000

    Residual |  2435163.97       320   7609.8874   R-squared       =    0.9989

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

       Total |  2.2053e+09       321  6870018.07   Root MSE        =    87.235

 

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

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

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

           X |   39.42999   .0732865   538.02   0.000     39.28581    39.57418

       _cons |   18.58187   7.492923     2.48   0.014     3.840261    33.32349

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

 

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