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Based on the following Excel Data Analysis results from running a Regression for a time series of 1 0 years of Annual Demand data, answer

Based on the following Excel Data Analysis results from running a Regression for a time series of 10 years of Annual Demand data, answer the next three questions.
\table[[\table[[SUMMARY],[OUTPUT]],,,,,,],[Regression Statistics],[Multiple R,0.952254841,,,,,],[\table[[R Square]],0.906789282,,,,,],[\table[[Adjusted R],[Square]],0.895137942,,,,,],[\table[[Standard],[Error]],4.124575277,,,,,],[\table[[Observations]],10,,,,,],[\table[[ANOVA,]]],[,df.,SS,MS,F,Significance F,],[Regression,1,1324.00303,1324.003,\table[[77.82704]],2.14582E-05,],[\table[[Residual]],8,136.0969697,17.01212,,,],[Total,9,1460.1,,,,],[Coefficients,\table[[Standard],[Error]],t Stat,P-value,Lower 95%,Upper 95%],[\table[[Intercept]],104.3333333,2.817621319,37.02887,3.1E-10,97.83588692,110.8307797],[X Variable 1,-4.006060606,0.454100793,-8.82196,2.15E-05,5.053218912,2.958902301]]
Which of the following is the correct prediction equation [basic form: Y=a+b(x)?
Group of answer choices
A)Y=104.33+4.006(x)
B)Y=37.02887-8.82196(x)
C)Y=-4.006+104.33(x)
D)Y=104.33-4.006(x)
Which statistic is the coefficient of determination?
A) Residual, 136.0969
B) Intercept, 104.333
C) Standard error, 4.12457
D) R Square, 0.906789
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