ou estimated a regression with the following output. Source | SS df MS Number of obs = 115 -------------+---------------------------------- F(1, 113) = 5454.39 Model | 186947380 1 186947380 Prob > F = 0.0000 Residual | 3873036.62 113 34274.6603 R-squared = 0.9797 -------------+---------------------------------- Adj R-squared = 0.9795 Total | 190820417 114 1673863.3 Root MSE = 185.13 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 28.58986 .3871141 73.85 0.000 27.82292 29.3568 _cons | 10.54686 26.92706 0.39 0.696 -42.80051 63.89423 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices Y = 0.39 + 26.93*X Y = 10.55 + 28.59*X Y = 28.59 + 10.55*X Y = 26.93 + 0.39*X

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
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Chapter1: Functions
Section1.2: Functions Given By Tables
Problem 2TU: Use the table of values you made in part 4 of the example to find the limiting value of the average...
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You estimated a regression with the following output.

 

      Source |       SS           df       MS      Number of obs   =       115

-------------+----------------------------------   F(1, 113)       =   5454.39

       Model |   186947380         1   186947380   Prob > F        =    0.0000

    Residual |  3873036.62       113  34274.6603   R-squared       =    0.9797

-------------+----------------------------------   Adj R-squared   =    0.9795

       Total |   190820417       114   1673863.3   Root MSE        =    185.13

 

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

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

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

           X |   28.58986   .3871141    73.85   0.000     27.82292     29.3568

       _cons |   10.54686   26.92706     0.39   0.696    -42.80051    63.89423

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

 

Which of the following is the estimated regression line?

 

Group of answer choices
Y =   0.39 +  26.93*X

Y =  10.55 +  28.59*X

Y =  28.59 +  10.55*X

Y =  26.93 +   0.39*X

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