Estadistica Lab2
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VENTAS Nº ANUNCIOS TEMPERATURA 125 3 41 152 5 86 131 4 33 133 4 47 142 5 64 116 3 22 127 3 55 163 6 84 VENTAS Nº ANUNCIOS VENTAS 1 Nº ANUNCIOS 0.95556601107269 1 TEMPERATURA 0.92066345560652 0.80482009637 Resumen Estadísticas de la regresión Coeficiente de correlación múltip 0.98911717613495 Coeficiente de determinación R^2 0.97835278812517 R^2 ajustado 0.96969390337524 Error típico 2.67831007073913 Observaciones 8 ANÁLISIS DE VARIANZA Grados de libertad Suma de cuadrados Regresión 2 1621.00827582 Residuos 5 35.8667241751 Total 7 1656.875 Coeficientes Error típico Intercepción 86.254690532672 3.96290656517 Nº ANUNCIOS 8.32370066853569 1.51475419795 TEMPERATURA 0.28768600388182 0.07410653081 Análisis de los residuales Observación Pronóstico VENTAS Residuos 1 123.020918697434 1.97908130257 2 152.614190209187 -0.6141902092 3 129.043131334915 1.95686866509 4 133.07073538926 -0.0707353893 5 146.285098123787 -4.2850981238 6 117.554884623679 -1.5548846237 7 127.048522751779 -0.0485227518
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estadistica en ingenieriacoeficiente de correlacion
Transcript of Estadistica Lab2
ejemplo2VENTASN ANUNCIOSTEMPERATURA125341152586131433133447142564116322127355163684
VENTASN ANUNCIOSTEMPERATURAVENTAS1N ANUNCIOS0.95556601111TEMPERATURA0.92066345560.80482009641
Resumen
Estadsticas de la regresinCoeficiente de correlacin mltiple0.9891171761Coeficiente de determinacin R^20.9783527881R^2 ajustado0.9696939034Error tpico2.6783100707Observaciones8ANLISIS DE VARIANZAGrados de libertadSuma de cuadradosPromedio de los cuadradosFValor crtico de FRegresin21621.0082758249810.5041379124112.98831389720.0000689453Residuos535.86672417517.173344835Total71656.875
CoeficientesError tpicoEstadstico tProbabilidadInferior 95%Superior 95%Inferior 95.0%Superior 95.0%Intercepcin86.25469053273.962906565221.76551203370.000003799276.067714899996.441666165476.067714899996.4416661654N ANUNCIOS8.32370066851.51475419795.49508341340.00272576224.429901041812.21750029524.429901041812.2175002952TEMPERATURA0.28768600390.07410653083.88206006580.01161770210.09718910190.47818290590.09718910190.4781829059Anlisis de los residuales
ObservacinPronstico VENTASResiduos1123.02091869741.97908130262152.6141902092-0.61419020923129.04313133491.95686866514133.0707353893-0.07073538935146.2850981238-4.28509812386117.5548846237-1.55488462377127.0485227518-0.04852275188160.362518872.63748113spssCorrelationsVENTASN ANUNCIOSTEMPERATURAVENTASPearson Correlation1,956**,921**Sig. (2-tailed).000.001N888N ANUNCIOSPearson Correlation,956**1,805*Sig. (2-tailed).000.016N888TEMPERATURAPearson Correlation,921**,805*1Sig. (2-tailed).001.016N888**. Correlation is significant at the 0.01 level (2-tailed).*. Correlation is significant at the 0.05 level (2-tailed).REGRESIONVariables Entered/RemovedaModelVariables EnteredVariables RemovedMethod1TEMPERATURA, N ANUNCIOSbEntera. Dependent Variable: VENTASb. All requested variables entered.
Model SummaryModelRR SquareAdjusted R SquareStd. Error of the Estimate1,989a.978.9702.678a. Predictors: (Constant), TEMPERATURA, N ANUNCIOS
ANOVAaModelSum of SquaresdfMean SquareFSig.1Regression1621.0082810.504112.988,000bResidual35.86757.173Total1656.8757a. Dependent Variable: VENTASb. Predictors: (Constant), TEMPERATURA, N ANUNCIOS
CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.BStd. ErrorBeta1(Constant)86.2553.96321.766.000N ANUNCIOS8.3241.515.6095.495.003TEMPERATURA.288.074.4303.882.012a. Dependent Variable: VENTAS
ejemplo3UBICACINVENTAS(miles$)N DISTRIBUIDORESN automoviles registradosIngreso Personal152.32011.024.698.5226.02850.022.131.1320.2650.07.934.8416.0480.012.532.7530.01694.09.068.8646.22302.011.594.7735.02214.020.567.683.5125.04.119.7933.11840.08.967.91025.21233.06.161.41138.21699.09.585.6
UBICACINVENTAS(miles$)N DISTRIBUIDORESN automoviles registradosIngreso PersonalUBICACIN1VENTAS(miles$)-0.1205215651N DISTRIBUIDORES-0.16606420550.7389655091N automoviles registrados-0.62336927460.54843142940.66975494261Ingreso Personal0.14295054960.93638762860.55637543470.28131339771Resumen
Estadsticas de la regresinCoeficiente de correlacin mltiple0.9867530373Coeficiente de determinacin R^20.9736815565R^2 ajustado0.9624022236Error tpico2.6679805845Observaciones11ANLISIS DE VARIANZAGrados de libertadSuma de cuadradosPromedio de los cuadradosFValor crtico de FRegresin31843.4022481143614.467416038186.32439205470.0000068146Residuos749.82684279487.1181203993Total101893.2290909091
CoeficientesError tpicoEstadstico tProbabilidadInferior 95%Superior 95%Inferior 95.0%Superior 95.0%Intercepcin-3.91770176522.2901731643-1.71065744130.1308845254-9.33310076981.4976972394-9.33310076981.4976972394N DISTRIBUIDORES0.00238408610.00157212181.51647668230.1731819298-0.00133339130.0061015635-0.00133339130.0061015635N automoviles registrados0.45742623320.1674992892.73091447680.02929996840.06135335230.85349911420.06135335230.8534991142Ingreso Personal0.40057551160.037791430210.59963885270.00001455540.31121297930.48993804390.31121297930.4899380439Anlisis de los residuales
ObservacinPronstico VENTAS(miles$)Residuos151.58606862440.7139313756225.44396180420.5560381958315.185649255.01435075416.0433067103-0.0433067103531.797371396-1.797371396644.76536708221.4346329178737.8168072399-2.816807239986.1470941326-2.6470941326931.73918738391.36081261611026.4075128386-1.20751283861138.7676735378-0.5676735378spssCorrelationsVENTAS(MILES $)NDISTRIBUIDORESN automoviles registradosINGRESO PERSONALVENTAS(MILES $)Pearson Correlation1,741**.563,937**Sig. (2-tailed).009.071.000N11111111NDISTRIBUIDORESPearson Correlation,741**1,667*.554Sig. (2-tailed).009.025.077N11111111N automoviles registradosPearson Correlation.563,667*1.300Sig. (2-tailed).071.025.369N11111111INGRESO PERSONALPearson Correlation,937**.554.3001Sig. (2-tailed).000.077.369N11111111**. Correlation is significant at the 0.01 level (2-tailed).*. Correlation is significant at the 0.05 level (2-tailed).REGRESIONVariables Entered/RemovedaModelVariables EnteredVariables RemovedMethod1INGRESO PERSONAL, N automoviles registrados, NDISTRIBUIDORESbEntera. Dependent Variable: VENTAS(MILES $)b. All requested variables entered.
Model SummaryModelRR SquareAdjusted R SquareStd. Error of the Estimate1,987a.974.9622.66798a. Predictors: (Constant), INGRESO PERSONAL, N automoviles registrados, NDISTRIBUIDORES
ANOVAaModelSum of SquaresdfMean SquareFSig.1Regression1843.4023614.46786.324,000bResidual49.82777.118Total1893.22910a. Dependent Variable: VENTAS(MILES $)b. Predictors: (Constant), INGRESO PERSONAL, N automoviles registrados, NDISTRIBUIDORES
CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.BStd. ErrorBeta1(Constant)-3.9182.290-1.711.131NDISTRIBUIDORES.000.000.1461.516.173N automoviles registrados.457.167.2282.731.029INGRESO PERSONAL.401.038.79110.600.000a. Dependent Variable: VENTAS(MILES $)
Hoja3
