7100.5 - SUMMARYOUTPUT MultipleR 0.96 RSquare 0.92...

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SUMMARY OUTPUT Regression Statistics Multiple R 0.96 R Square 0.92 Adjusted R 0.92 Standard E 122.06 Observatio 36 ANOVA df SS MS F ignificance F Regression 1 ### ### 400.34 0 Residual 34 ### 14899.11 Total 35 ### Coefficients tandard Err t Stat P-value Lower 95%Upper 95% Lower 95.0% Upper 95.0% Intercept 272.81 40.72 6.7 0 190.06 355.56 190.06 355.56 M 0.24 0.01 20.01 0 0.21 0.26 0.21 0.26
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ВЫВОД   ИТОГОВ Регрессионная   статистика Множественный  R 0.61 R- квадрат 0.37 Нормированный  R- квадрат 0.33 Стандартная   ошибка 2.29 Наблюдения 36 Дисперсионный   анализ df SS MS F начимость  F Регрессия 2 99.86 49.93 9.55 0 Остаток 33 172.59 5.23 Итого 35 272.45 Коэффициен дартная   ош - статистика P- Значение Нижние  95% ерхние  95% Y- пересечение 8.78 1.16 7.56 0 6.42 11.15 M 0 0 -1.49 0.14 0 0 I 0 0 0.29 0.78 -0.01 0.01
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ижние  95.0 ерхние  95.0% 6.42 11.15 0 0 -0.01 0.01 0 8.02 0 -194.43 3.44 4414.44
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Y M I R 3771.9 626.5 427.1 6.56 3898.6 710.3 475.7 4.51 4105 802.3 532.1 4.47 4341.5 855.5 594.4 7.18 4319.6 902.1 550.6 7.93 4311.2 1016.2 453.1 6.12 SUMMARY 4540.9 1152 544.7 5.27 4750.5 1270.3 627 5.51 Regression 5015 1366 702.6 7.57 Multiple R 5173.4 1483.8 725 10.02 R Square 5161.7 1599.8 645.3 11.37 Adjusted R 5291.7 1755.4 704.9 13.78 Standard E 5189.3 1910.3 606 11.08 Observatio 5423.8 2126.5 662.5 8.75 5813.6 2310 857.7 9.8 ANOVA 6053.7 2495.7 849.7 7.66 6263.6 2732.4 843.9 6.03 Regression 6475.1 2831.4 870 6.05 Residual 6742.7 2994.5 890.5 6.92
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