B18 A x fxx -0.000127896164494357 B 1 SUMMARY OUTPUT 2 3 Regression Statistics 4 Multiple R 0.90907482 5 R Square 0.82641704 6 Adjusted R 5 0.80781886 7 Standard Err 2.64212176 8 Observations 32 9 10 ANOVA D E F G H K L M N P 11 df SS MS F Significance F 12 Regression 13 Residual 3 930.58458 310.19486 44.4353843 8.9452E-11 28 195.462608 6.98080742 14 Tatal 31 1126.04719 15 16 17 Intercept 18 Displace 19 Weight 20 Quarter Coefficients tandard Erro + Stat P-value Lower 95% Upper 95% Lower 95% Upper 95% 19.7775576 5.93828659 3.33051585 0.00244207 7.61352891 31.9415862 7.61352891 31.9415862 -0.0001279] 0.01056025 -0.0121111 0.99042287 -0.0217596 0.0215038 -0.0217596 0.0215038 -5.0344097 1.22411993 -4.1126769 0.00031042 -7.5419057 -2.5269137 -7.5419057 -2.5269137 0.92664924 0.34209668 2.70873496 0.01138977 0.22589595 1.62740252 0.22589595 1.62740252 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 Final CarData + Atlas 3.0 3 What does the Adjusted R Squared tell us about fuel efficiency (MPG)? The model explains about 80% of the variance in MPG. The model explains about 70% of the variance in MPG. The model explains about 60% of the variance in MPG. The model explains about 90% of the variance in MPG. 4 Which potential independent variable should not be used in the final regression model? Weight Displace MPG Quarter