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SUMMARY OUTPUT Regression Statistics Multiple R 0.999 R Square 0.999 Adjusted R Square 0.998 Standard Error 818.434 Observations 7 ANOVA df SS Regression. 1

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SUMMARY OUTPUT Regression Statistics Multiple R 0.999 R Square 0.999 Adjusted R Square 0.998 Standard Error 818.434 Observations 7 ANOVA df SS Regression. 1 2.435E+09 2.435E+09 3.636E+03 MS F Significance F 2.374E-08 Residual 5 3.349E+06 6.698E+05 Total 6 2.439E+09 Intercept Number of Bottles Coefficients Standard Error t Stat P-value 1277.81 0.85 29.15 60.30 0.00 0.00 Lower 95% 33968.29 49.28 37253.01 51.48 Upper 95% Lower 95.0% Upper 95.0% 40537.74 53.67 40537.74 53.67 33968.29 49.28 Determine the estimated total cost for 1,200 bottles of wine using the Regression Analysis Method. Drill 1:

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