02. 1 regresion multiple.xlswills

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Ejercio 1 n Y 1 40.16 421.84 2.96 116.70 177952.36 8.76 13618.89 2 22.67 72.32 1.76 115.40 5230.62 3.10 13317.16 3 23.43 25.58 2.16 117.90 654.39 4.67 13900.41 4 43.51 75.61 10.96 117.20 5717.48 120.12 13735.84 5 71.41 249.76 8.16 118.70 62381.56 66.59 14089.69 6 18.08 18.02 1.68 116.10 324.79 2.82 13479.21 7 23.65 126.89 1.52 116.70 16100.31 2.31 13618.89 8 26.89 77.75 1.50 117.20 6045.22 2.25 13735.84 9 35.81 285.09 2.32 116.80 81276.31 5.38 13642.24 10 48.20 143.51 5.11 115.30 20596.27 26.11 13294.09 11 27.69 45.07 1.57 117.60 2031.49 2.46 13829.76 12 22.94 86.47 1.90 117.60 7477.58 3.61 13829.76 13 41.58 317.85 1.97 115.90 101025.44 3.88 13432.81 14 29.35 26.47 2.93 116.50 700.71 8.58 13572.25 15 22.07 16.47 1.69 120.50 271.26 2.86 14520.25 Promedio 33.16 132.58 3.21 117.07 32519.05 Suma Tot 497.44 1988.72 48.19 1756.10 487785.78 263.51 205617.09 X1 X2 X3 X1 2 X2 2 X3 2

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MatrizEjercio 1nYX1X2X3X12X22X32X1X2X1X3X2X3YX1YX2YX3Y^e2y2140.16421.842.96116.70177952.368.7613618.891248.6649229.19345.4316941.26118.874686.67222.6772.321.76115.405230.623.1013317.16127.298346.07203.101639.5639.902616.12323.4325.582.16117.90654.394.6713900.4155.253016.00254.66599.3650.612762.40443.5175.6110.96117.205717.48120.1213735.84828.738861.961284.513289.97476.875099.37571.41249.768.16118.7062381.5666.5914089.692038.0729646.87968.5917835.58582.718476.37618.0818.021.68116.10324.792.8213479.2130.282092.35195.05325.8430.372099.09723.65126.891.52116.7016100.312.3113618.89192.8714807.71177.383000.8835.952759.96826.8977.751.50117.206045.222.2513735.84116.639112.42175.802090.7240.343151.51935.81285.092.32116.8081276.315.3813642.24661.4133298.51270.9810209.0783.084182.611048.20143.515.11115.3020596.2726.1113294.09733.3616547.16589.186917.37246.305557.461127.6945.071.57117.602031.492.4613829.7670.765300.47184.631248.0443.473256.341222.9486.471.90117.607477.583.6113829.76164.3010169.22223.441983.6943.592697.741341.58317.851.97115.90101025.443.8813432.81626.1536838.24228.3213216.0081.914819.121429.3526.472.93116.50700.718.5813572.2577.563083.87341.35776.9286.003419.281522.0716.471.69120.50271.262.8614520.2527.831984.64203.65363.4937.302659.44Promedio33.16132.583.21117.0732519.05Suma Tot497.441988.7248.191756.10487785.78263.51205617.096999.14232334.695646.0880437.751997.2658243.47

ProcMatriz X'XX1X2X3X1X2X3(X'X)-1Comprobacion (X'X) (X'X)-1 = IVector X'YYYX1YX2YX3Estimacin de Parmetros B = (X'X)-1 (X'Y)BoB1B2B3Modelo EstimadoY = -82.191 + 0.057X1 + 3.317X2 +0.829X3Bi-82.19030.05743.31720.8292(ee)0.00000.00000.00000.0000tc=Bi/ee0.00000.00000.00000.0000Fc0.0000R2 = 1- (SEC/SCT)0.0000R2 Ajustado= 1- (1-R2)(n-1/n-k)0.0000Varianza de los residuos S2 = SCR/n-k54.1527Matriz de Varianza y Covarianza s2 (XX)-1B0B1B2B3B0B1B2B3Error Estandar de los parmetrosB0B1B2B3ANVAF de Variac.GLSCCMFModelok-1Difer. y2-e2SCModel/GLCMModel/CMErrorErrorn-kSuma e2SCErrorl/GLTotaln-1Suma y2ANVAF de Variac.GLSCCMFModeloErrorTotal

Matriz ResumenEjercio 1Matriz X'XnYX1X2X3Y^e2y2X1X2X3140.16421.842.96116.701612.837.00151988.7248.191756.10222.6772.321.76115.40513.93-474.77X11988.72487785.778626999.14496232334.6923323.4325.582.16117.90548.9623.43X248.196999.14496263.50615646.08443.5175.6110.96117.201893.1243.51X31756.10232334.69235646.08205617.09571.41249.768.16118.705099.3971.41618.0818.021.68116.10326.8915.08(X'X)-1Comprobacion (X'X) (X'X)-1 = I723.65126.891.52116.70559.3220.65591.57-0.010.24-5.05826.8977.751.50117.20723.0723.89-0.010.00-0.000.00935.81285.092.32116.801282.3633.810.24-0.000.01-0.001048.20143.515.11115.302323.2448.20-5.050.00-0.000.041127.6945.071.57117.60766.7427.691222.9486.471.90117.60526.2422.94Vector X'Y1341.58317.851.97115.901728.9041.58Y1429.3526.472.93116.50861.4229.35YX11522.0716.471.69120.50487.0822.07YX2Promedio33.16132.583.21117.07YX3Suma Tot497.441988.7248.191756.1019253.49-44.161750.32Estimacin de Parmetros B = (X'X)-1 (X'Y)BoB13B2331B332Modelo EstimadoY = -82.191 + 0.057X1 + 3.317X2 +0.829X3X-1 )XBi-82.19030.05743.31720.8292(ee)0.00000.00000.00000.0000tc=Bi/ee0.00000.00000.00000.0000Fc0.0000R2 = 1- (SEC/SCT)0.0000R2 Ajustado= 1- (1-R2)(n-1/n-k)0.0000Varianza de los residuos S2 = SCR/n-k54.1527Matriz de Varianza y Covarianza s2 (XX)-1B0B1B2B3B0B1B2B3Error Estandar de los parmetrosB0B1B2B3ANVAF de Variac.GLSCCMFModelok-1Difer. y2-e2SCModel/GLCMModel/CMErrorErrorn-kSuma e2SCErrorl/GLTotaln-1Suma y2ANVAF de Variac.GLSCCMFModeloErrorTotal