18.1 You estimated the following regression. What value would you predict for Y, if X = 89? (Round your final answer to zero decimal places.)         Source |       SS           df       MS      Number of obs   =       215 -------------+----------------------------------   F(1, 213)       =  82741.83        Model |   921013654         1   921013654   Prob > F        =    0.0000     Residual |  2370939.82       213  11131.1728   R-squared       =    0.9974 -------------+----------------------------------   Adj R-squared   =    0.9974        Total |   923384594       214  4314881.28   Root MSE        =     105.5   ------------------------------------------------------------------------------            Y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval] -------------+----------------------------------------------------------------            X |   33.52472   .1165474   287.65   0.000     33.29498    33.75445        _cons |   36.39003   13.54692     2.69   0.008     9.686834    63.09323

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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18.1

You estimated the following regression. What value would you predict for Y, if X = 89? (Round your final answer to zero decimal places.)

 

      Source |       SS           df       MS      Number of obs   =       215

-------------+----------------------------------   F(1, 213)       =  82741.83

       Model |   921013654         1   921013654   Prob > F        =    0.0000

    Residual |  2370939.82       213  11131.1728   R-squared       =    0.9974

-------------+----------------------------------   Adj R-squared   =    0.9974

       Total |   923384594       214  4314881.28   Root MSE        =     105.5

 

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

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

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

           X |   33.52472   .1165474   287.65   0.000     33.29498    33.75445

       _cons |   36.39003   13.54692     2.69   0.008     9.686834    63.09323

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

 

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