EXAMEN RAPIDO 03.11.17 (1).xlsx - EXÁMEN RÁPIDO LUIS...

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EXÁMEN RÁPIDO LUIS ALBERTO PEDROZA HERNÁNDEZ 2810825 LUIS ALFREDO RUIZ GARCIA 2815335 11/3/2017 GASTO (miles de pasetas) INGRESO (Miles de pesetas)#INTEGRANTES (Número de personas) Y X1 X2 43 21 3 31 11 4 32 9 5 46 16 4 125 62 4 44 23 3 52 18 6 29 10 5 129 89 3 35 24 2 35 12 4 78 47 3 43 35 2 47 29 3 38 14 4 a) Correlación Y X1 Y 1 X1 0.9424591113 1 X2 -0.1264685656 -0.3776590871 La relaciónentre Y (GASTO) y X1 (INGRESO) es positivia y cercana a 1, lo cual significa que hay una fuerte o sea que si aumenta el ingreso, aumenta el gasto La relación entre Y (GASTI) y X2 (NÚMERO DE EST) es negativa y cercana a 1, lo cual significa que hay un que si disminuye el número de estudiantes, disminuye el gasto(no es muy logico) SUMMARY OUTPUT Regression Statistics Multiple R 0.9744945769 R Square 0.9496396804 Adjusted R Square 0.9412462938 Standard Error 7.7512282846 Observations 15 ANOVA df SS Regression 2 13595.4215209532
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Residual 12 720.9784790468 Total 14 14316.4 Coefficients Standard Error Intercept -16.045804267 9.0389103302 X1 1.4872702276 0.09971317 X2 7.6915194256 2.0106867977 40 4 Ecuación de regresión Y= -16.04580427 + 1.487270228 X1 + 7.691519426 X2 3) GASTO 74.2110825398 59.4908091043 30.7660777025 RESIDUAL OUTPUT 90.2568868069 Observation Predicted Y Residuals 1 38.2614287897 4.7385712103 2 31.0802459392 -0.0802459392 3 35.7972249096 -3.7972249096 4 38.5165970772 7.4834029228 5 106.9310275472 18.0689724528 6 41.2359692449 2.7640307551 7 56.8741763837 -4.8741763837
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  • Summer '17
  • juan alvarado
  • R Square, Correlación, Salida, Análisis de la varianza, Varianza

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