Demo Conjoint

FactorsFactorsCategoriesTemperatureSugarLemonIntensityTemperature3IceNo sugaryesStrongSugar3Warm1 sugarnoMediumLemon2Very warm2 sugarLowIntensity3

Design of conjoint analysisXLSTAT 2011.3.01 - Designs for conjoint analysis - on 19/07/2011 at 16:37:44Short name: Workbook = demo_conjoint.xls / Sheet = Factors / Range = Factors!$A$4:$A$7 / 4 rows and 1 columnLong name: Workbook = demo_conjoint.xls / Sheet = Factors / Range = Factors!$A$4:$A$7 / 4 rows and 1 columnNumber of categories: Workbook = demo_conjoint.xls / Sheet = Factors / Range = Factors!$B$4:$B$7 / 4 rows and 1 columnLabels: Workbook = demo_conjoint.xls / Sheet = Factors / Range = Factors!$D$4:$G$6 / 3 rows and 4 columnsExperimental design: AutomaticRepetitions: 10 / Initial partition: RandomMaximum number of profiles: 12Number of responses: 10Seed (random numbers): 2136696481Variable information:Short nameLong nameNo. of categoriesCategory 1Category 2Category 3TemperatureTemperature3IceWarmVery warmSugarSugar3No sugar1 sugar2 sugarLemonLemon2yesnoIntensityIntensity3StrongMediumLowAnalysis name: Design of conjoint analysisDesigns for conjoint analysis (Optimized):ObservationTemperatureSugarLemonIntensityIndividual 1Individual 2Individual 3Individual 4Individual 5Individual 6Individual 7Individual 8Individual 9Individual 10Profile1Warm2 sugarnoMedium8819819115Profile2Very warmNo sugaryesMedium919891210111110Profile3Warm1 sugarnoStrong7781787529Profile4WarmNo sugaryesLow662106241238Profile5Ice2 sugaryesStrong1123231132121Profile6Ice1 sugarnoLow29103172392Profile7WarmNo sugarnoStrong5211115384511Profile8Warm1 sugaryesMedium4447456767Profile9Warm2 sugaryesLow10115411105983Profile10Very warm1 sugaryesStrong11561212611101012Profile11IceNo sugarnoMedium33126241644Profile12Very warm2 sugarnoLow12107510912876Optimization summary:Statistics for each iteration:IterationLog(Determinant)05.76616.32726.63536.86247.00557.047RepetitionNumber of experimentsIterationLog(Determinant)Norm. Log Det11247.033-0.20021257.042-0.19931247.033-0.20041257.047-0.19851247.042-0.19961257.033-0.20071267.020-0.20281257.047-0.19891257.004-0.204101277.030-0.200

Conjoint analysisXLSTAT 2011.3.01 - Conjoint analysis - on 19/07/2011 at 16:39:18Responses: Workbook = demo_conjoint.xls / Sheet = Design of conjoint analysis / Range = 'Design of conjoint analysis'!$G$27:$P$39 / 12 rows and 10 columnsProfiles: Workbook = demo_conjoint.xls / Sheet = Design of conjoint analysis / Range = 'Design of conjoint analysis'!$C$27:$F$39 / 12 rows and 4 columnsMethod: MONANOVAConstraints: Sum(ai)=0Confidence interval (%): 95Variable information:Short nameNo. of categoriesCategory 1Category 2Category 3Temperature3IceVery warmWarmSugar31 sugar2 sugarNo sugarLemon2noyesIntensity3LowMediumStrongUtilities (Individual data):SourceIndividual 1Individual 2Individual 3Individual 4Individual 5Individual 6Individual 7Individual 8Individual 9Individual 10Intercept6.9886.4455.9166.8226.8556.0936.5006.5005.7666.724Temperature-Ice5.406-1.5660.6863.2904.4730.0484.9792.610-1.1074.056Temperature-Very warm-3.4541.348-3.020-2.002-3.055-1.675-4.979-2.610-1.830-3.162Temperature-Warm-1.9520.2182.334-1.287-1.4181.6270.0000.0002.937-0.894Sugar-1 sugar0.3750.284-0.9341.0680.919-2.4410.0730.0690.434-0.603Sugar-2 sugar-0.627-3.3782.3340.639-1.835-0.488-0.3250.9690.2312.481Sugar-No sugar0.2523.093-1.400-1.7070.9162.9290.252-1.038-0.665-1.877Lemon-no-0.2850.243-2.0590.5250.8131.077-0.5952.0262.142-0.266Lemon-yes0.285-0.2432.059-0.525-0.813-1.0770.595-2.026-2.1420.266Intensity-Low-0.305-1.714-0.0000.6390.542-0.4880.377-1.8851.1461.140Intensity-Medium0.1171.7510.934-1.6710.5380.4880.0740.1690.7510.469Intensity-Strong0.188-0.037-0.9341.032-1.0810.000-0.4521.716-1.897-1.609Importances (Individual data):SourceIndividual 1Individual 2Individual 3Individual 4Individual 5Individual 6Individual 7Individual 8Individual 9Individual 10Temperature81.09821.85335.51944.77755.63227.98179.31835.07436.13548.580Sugar9.17248.51924.77223.47720.35645.4994.59313.4898.32729.334Lemon5.2223.64227.3228.87612.01718.2489.48527.23632.4773.584Intensity4.50825.98512.38622.86911.9948.2736.60424.20023.06218.503Goodness of fit statistics (Individual data):SourceIndividual 1Individual 2Individual 3Individual 4Individual 5Individual 6Individual 7Individual 8Individual 9Individual 10Observations12.00012.00012.00012.00012.00012.00012.00012.00012.00012.000Sum of weights12.00012.00012.00012.00012.00012.00012.00012.00012.00012.000DF4.0004.0004.0004.0004.0004.0004.0004.0004.0004.000R0.9991.0000.9250.7391.0000.7291.0000.9910.9771.000Adjusted R0.9981.0000.7930.2821.0000.2560.9990.9750.9371.000MSE0.0220.0002.6929.3280.0009.6740.0070.3210.8220.000RMSE0.1490.0021.6413.0540.0063.1100.0860.5670.9070.000MAPE1.2130.01212.24627.8220.05728.1920.5766.36818.4690.000DW0.9731.0962.3921.6362.2552.2811.4961.1291.440Cp8.0008.0008.0008.0008.0008.0008.0008.0008.0008.000AIC-42.815-149.42814.69929.612-121.08930.049-55.977-10.8150.465SBC-38.936-145.54918.57833.492-117.21033.929-52.098-6.9364.345PC0.0030.0000.3761.3050.0001.3530.0010.0450.1150.000Press RMSE0.5220.0054.7948.4670.0198.7000.2511.7362.8720.000Iterations100.0004.00017.00037.00015.000100.000100.00044.00032.0002.000Utilities (Descriptive statistics):SourceMinimumMaximumMeanStd. deviationIntercept5.7666.9886.4610.415Temperature-Ice-1.5665.4062.2872.581Temperature-Very warm-4.9791.348-2.4441.641Temperature-Warm-1.9522.9370.1571.660Sugar-1 sugar-2.4411.068-0.0761.030Sugar-2 sugar-3.3782.4810.0001.780Sugar-No sugar-1.8773.0930.0751.794Lemon-no-2.0592.1420.3621.260Lemon-yes-2.1422.059-0.3621.260Intensity-Low-1.8851.146-0.0551.067Intensity-Medium-1.6711.7510.3620.868Intensity-Strong-1.8971.716-0.3071.132Importances (Descriptive statistics):SourceMinimumMaximumMeanStd. deviationTemperature21.85381.09846.59720.203Sugar4.59348.51922.75415.067Lemon3.58432.47714.81110.796Intensity4.50825.98515.8398.022Regression of variable Individual 1:Goodness of fit statistics (Individual 1):Observations12.000Sum of weights12.000DF4.000R0.999Adjusted R0.998MSE0.022RMSE0.149MAPE1.213DW0.973Cp8.000AIC-42.815SBC-38.936PC0.003Press RMSE0.522Analysis of variance (Individual 1):SourceDFSum of squaresMean squaresFPr > FModel7142.91120.416915.059< 0,0001Error40.0890.022Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 1):SourceDFSum of squaresMean squaresFPr > FTemperature2136.90968.4543068.196< 0,0001Sugar22.2411.12150.2230.001Lemon10.9220.92241.3270.003Intensity20.5310.26611.9070.021Goodness of fit statistics (MONANOVA) (Individual 1):ValueFNum DFDen DFPr > FWilks' Lambda0.00062408233.6151645509216.29303046670.054Pillai's trace0.99937591770.285446905321120.994Hotelling-Lawley trace1601.352664793450.83659253312120.019Roy's greatest root1601.3526647934915.058665596274< 0,0001Utilities (Individual 1):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept6.9880.045153.746< 0,00016.8627.114Temperature-Ice5.4060.06978.321< 0,00015.2145.597Temperature-Very warm-3.4540.069-50.041< 0,0001-3.645-3.262Temperature-Warm-1.9520.057-33.951< 0,0001-2.112-1.792Sugar-1 sugar0.3750.0635.9510.0040.2000.550Sugar-2 sugar-0.6270.063-9.9590.001-0.802-0.452Sugar-No sugar0.2520.0634.0080.0160.0780.427Lemon-no-0.2850.044-6.4290.003-0.408-0.162Lemon-yes0.2850.0446.4290.0030.1620.408Intensity-Low-0.3050.063-4.8360.008-0.479-0.130Intensity-Medium0.1170.0631.8530.138-0.0580.292Intensity-Strong0.1880.0632.9840.0410.0130.363Standardized coefficients (Individual 1):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice1.1760.01577.912< 0,00011.1341.218Temperature-Very warm-0.7070.014-50.041< 0,0001-0.747-0.668Temperature-Warm-0.4690.014-33.951< 0,0001-0.507-0.430Sugar-1 sugar0.0890.0155.9510.0040.0470.130Sugar-2 sugar-0.1480.015-9.9590.001-0.190-0.107Sugar-No sugar0.0600.0154.0080.0160.0180.101Lemon-no-0.0830.013-6.4290.003-0.118-0.047Lemon-yes0.0830.0136.4290.0030.0470.118Intensity-Low-0.0720.015-4.8360.008-0.113-0.031Intensity-Medium0.0280.0151.8530.138-0.0140.069Intensity-Strong0.0440.0152.9840.0410.0030.086Predictions and residuals (Individual 1):WeightIndividual 1Monotone(Individual 1)Pred(Individual 1)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0008.0004.2994.2400.0570.3820.1213.9054.5760.1923.7074.7741.0009.0004.2994.1890.1090.7280.1193.8574.5200.1913.6584.7201.0007.0005.2575.314-0.048-0.3230.1085.0145.6130.1844.8025.8251.0006.0005.2575.269-0.004-0.0260.1214.9345.6050.1924.7365.8031.0001.00012.30212.2400.0590.3950.14111.84812.6310.20511.66912.8101.0002.00012.30212.1790.1200.8030.13111.81412.5430.19911.62612.7311.0005.0005.2575.1910.0740.4960.1214.8565.5270.1924.6585.7251.0004.0005.8125.8130.0130.0880.1215.4776.1480.1925.2796.3461.00010.0004.2994.390-0.092-0.6170.1084.0904.6890.1843.8784.9011.00011.0004.2994.382-0.085-0.5680.1194.0514.7140.1913.8514.9131.0003.00012.30212.477-0.179-1.1980.11912.14612.8090.19111.94713.0081.00012.0002.3152.317-0.024-0.1600.1301.9562.6780.1981.7682.867Regression of variable Individual 2:Goodness of fit statistics (Individual 2):Observations12.000Sum of weights12.000DF4.000R1.000Adjusted R1.000MSE0.000RMSE0.002MAPE0.012DW1.096Cp8.000AIC-149.428SBC-145.549PC0.000Press RMSE0.005Analysis of variance (Individual 2):SourceDFSum of squaresMean squaresFPr > FModel7143.00020.4296609374.534< 0,0001Error40.0000.000Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 2):SourceDFSum of squaresMean squaresFPr > FTemperature212.3546.1771998555.496< 0,0001Sugar278.96139.48012773279.056< 0,0001Lemon10.6690.669216290.357< 0,0001Intensity222.52611.2633643999.288< 0,0001Goodness of fit statistics (MONANOVA) (Individual 2):ValueFNum DFDen DFPr > FWilks' Lambda0.00000008651457.1179966715146< 0,0001Pillai's trace0.99999991350.57142847261480.828Hotelling-Lawley trace11566405.43453711652343.6335053144< 0,0001Roy's greatest root11566405.43453716609374.5340211874< 0,0001Utilities (Individual 2):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept6.4450.00112048.360< 0,00016.4446.447Temperature-Ice-1.5660.001-1928.084< 0,0001-1.569-1.564Temperature-Very warm1.3480.0011659.601< 0,00011.3461.350Temperature-Warm0.2180.001322.311< 0,00010.2160.220Sugar-1 sugar0.2840.001383.558< 0,00010.2820.286Sugar-2 sugar-3.3780.001-4556.361< 0,0001-3.380-3.375Sugar-No sugar3.0930.0014172.804< 0,00013.0913.095Lemon-no0.2430.001465.070< 0,00010.2410.244Lemon-yes-0.2430.001-465.070< 0,0001-0.244-0.241Intensity-Low-1.7140.001-2312.874< 0,0001-1.717-1.712Intensity-Medium1.7510.0012362.240< 0,00011.7491.753Intensity-Strong-0.0370.001-49.366< 0,0001-0.039-0.035Standardized coefficients (Individual 2):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice-0.3290.000-1848.863< 0,0001-0.329-0.328Temperature-Very warm0.2760.0001659.601< 0,00010.2760.277Temperature-Warm0.0520.000322.311< 0,00010.0520.053Sugar-1 sugar0.0670.000383.558< 0,00010.0670.068Sugar-2 sugar-0.7990.000-4556.361< 0,0001-0.799-0.798Sugar-No sugar0.7320.0004172.804< 0,00010.7310.732Lemon-no0.0700.000465.070< 0,00010.0700.071Lemon-yes-0.0700.000-465.070< 0,0001-0.071-0.070Intensity-Low-0.4060.000-2312.874< 0,0001-0.406-0.405Intensity-Medium0.4140.0002362.240< 0,00010.4140.415Intensity-Strong-0.0090.000-49.366< 0,0001-0.009-0.008Predictions and residuals (Individual 2):WeightIndividual 2Monotone(Individual 2)Pred(Individual 2)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0008.0005.2805.2800.0000.1390.0015.2765.2840.0025.2745.2861.0001.00012.39512.3950.0010.3260.00112.39112.3990.00212.38912.4011.0007.0007.1547.154-0.002-0.9820.0017.1517.1580.0027.1487.1601.0006.0007.7997.799-0.001-0.6200.0017.7957.8030.0027.7937.8061.00012.0001.2221.2220.0000.0110.0021.2181.2270.0021.2161.2291.0009.0003.6923.6920.0010.7700.0023.6883.6960.0023.6853.6981.0002.0009.9659.9630.0021.0760.0019.9599.9670.0029.9579.9691.0004.0008.4568.4560.0010.3170.0018.4528.4600.0028.4508.4621.00011.0001.3291.3290.0000.0710.0011.3251.3320.0021.3231.3351.0005.0007.7997.799-0.000-0.1050.0017.7957.8020.0027.7927.8051.0003.0009.9659.966-0.001-0.7810.0019.9629.9700.0029.9609.9731.00010.0002.9452.945-0.000-0.2210.0022.9402.9490.0022.9382.951Regression of variable Individual 3:Goodness of fit statistics (Individual 3):Observations12.000Sum of weights12.000DF4.000R0.925Adjusted R0.793MSE2.692RMSE1.641MAPE12.246DW2.392Cp8.000AIC14.699SBC18.578PC0.376Press RMSE4.794Analysis of variance (Individual 3):SourceDFSum of squaresMean squaresFPr > FModel7132.23318.8907.0180.039Error410.7672.692Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 3):SourceDFSum of squaresMean squaresFPr > FTemperature256.23928.11910.4460.026Sugar231.05115.5265.7680.066Lemon148.06748.06717.8570.013Intensity26.5373.2691.2140.387Goodness of fit statistics (MONANOVA) (Individual 3):ValueFNum DFDen DFPr > FWilks' Lambda0.07529411767.0178571429740.039Pillai's trace0.92470588247.0178571429740.039Hotelling-Lawley trace12.281257.0178571429740.039Roy's greatest root12.281257.0178571429740.039Utilities (Individual 3):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept5.9160.49911.8510.0004.5307.303Temperature-Ice0.6860.7580.9060.416-1.4182.791Temperature-Very warm-3.0200.758-3.9840.016-5.125-0.916Temperature-Warm2.3340.6313.6960.0210.5814.087Sugar-1 sugar-0.9340.692-1.3500.248-2.8540.987Sugar-2 sugar2.3340.6923.3740.0280.4134.255Sugar-No sugar-1.4000.692-2.0240.113-3.3210.520Lemon-no-2.0590.487-4.2260.013-3.413-0.706Lemon-yes2.0590.4874.2260.0130.7063.413Intensity-Low-0.0000.692-0.0001.000-1.9211.921Intensity-Medium0.9340.6921.3500.248-0.9872.854Intensity-Strong-0.9340.692-1.3500.248-2.8540.987Standardized coefficients (Individual 3):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice0.0580.1660.3500.744-0.4020.519Temperature-Very warm-0.6190.155-3.9840.016-1.050-0.188Temperature-Warm0.5610.1523.6960.0210.1390.982Sugar-1 sugar-0.2210.164-1.3500.248-0.6750.233Sugar-2 sugar0.5520.1643.3740.0280.0981.006Sugar-No sugar-0.3310.164-2.0240.113-0.7860.123Lemon-no-0.5970.141-4.2260.013-0.989-0.205Lemon-yes0.5970.1414.2260.0130.2050.989Intensity-Low-0.0000.164-0.0001.000-0.4540.454Intensity-Medium0.2210.1641.3500.248-0.2330.675Intensity-Strong-0.2210.164-1.3500.248-0.6750.233Predictions and residuals (Individual 3):WeightIndividual 3Monotone(Individual 3)Pred(Individual 3)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0001.00010.5859.4591.1260.6861.3285.77213.1452.1113.59915.3191.0009.0003.5824.489-0.906-0.5521.3120.8478.1312.101-1.34410.3211.0008.0003.5824.324-0.741-0.4521.1851.0347.6142.024-1.2959.9431.0002.00010.5858.9101.6751.0211.3285.22312.5962.1113.04914.7701.0003.00010.58510.0630.5220.3181.5485.76514.3612.2563.80016.3261.00010.0003.5823.610-0.027-0.0171.442-0.3947.6142.184-2.4559.6751.00011.0003.5823.857-0.275-0.1671.3280.1717.5432.111-2.0039.7171.0004.00010.58510.3100.2750.1671.3286.62413.9962.1114.45016.1701.0005.00010.58512.644-2.059-1.2551.1859.35415.9342.0247.02518.2631.0006.0003.5823.0880.4940.3011.312-0.5546.7302.101-2.7448.9201.00012.0003.5824.077-0.494-0.3011.3120.4357.7192.101-1.7559.9091.0007.0003.5823.1710.4120.2511.427-0.7927.1342.175-2.8679.208Regression of variable Individual 4:Goodness of fit statistics (Individual 4):Observations12.000Sum of weights12.000DF4.000R0.739Adjusted R0.282MSE9.328RMSE3.054MAPE27.822DW1.636Cp8.000AIC29.612SBC33.492PC1.305Press RMSE8.467Analysis of variance (Individual 4):SourceDFSum of squaresMean squaresFPr > FModel7105.69015.0991.6190.336Error437.3109.328Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 4):SourceDFSum of squaresMean squaresFPr > FTemperature250.86525.4322.7270.179Sugar216.7348.3670.8970.477Lemon13.1183.1180.3340.594Intensity215.9967.9980.8570.490Goodness of fit statistics (MONANOVA) (Individual 4):ValueFNum DFDen DFPr > FWilks' Lambda0.26091127110.41045722851460.920Pillai's trace0.73908872890.33494538931480.965Hotelling-Lawley trace2.83272058710.40467436961440.907Roy's greatest root2.83272058711.6186974783740.336Utilities (Individual 4):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept6.8220.9297.3410.0024.2429.402Temperature-Ice3.2901.4112.3310.080-0.6287.208Temperature-Very warm-2.0021.411-1.4190.229-5.9211.916Temperature-Warm-1.2871.176-1.0950.335-4.5511.976Sugar-1 sugar1.0681.2880.8290.454-2.5084.643Sugar-2 sugar0.6391.2880.4960.646-2.9364.214Sugar-No sugar-1.7071.288-1.3260.256-5.2821.868Lemon-no0.5250.9070.5780.594-1.9943.043Lemon-yes-0.5250.907-0.5780.594-3.0431.994Intensity-Low0.6391.2880.4960.646-2.9364.214Intensity-Medium-1.6711.288-1.2980.264-5.2461.904Intensity-Strong1.0321.2880.8010.468-2.5434.607Standardized coefficients (Individual 4):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice0.7190.3092.3300.080-0.1381.576Temperature-Very warm-0.4100.289-1.4190.229-1.2130.392Temperature-Warm-0.3090.282-1.0950.335-1.0930.475Sugar-1 sugar0.2530.3050.8290.454-0.5931.098Sugar-2 sugar0.1510.3050.4960.646-0.6940.997Sugar-No sugar-0.4040.305-1.3260.256-1.2490.442Lemon-no0.1520.2630.5780.594-0.5780.882Lemon-yes-0.1520.263-0.5780.594-0.8820.578Intensity-Low0.1510.3050.4960.646-0.6940.997Intensity-Medium-0.3950.305-1.2980.264-1.2410.450Intensity-Strong0.2440.3050.8010.468-0.6021.090Predictions and residuals (Individual 4):WeightIndividual 4Monotone(Individual 4)Pred(Individual 4)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0009.0003.5685.027-1.460-0.4782.472-1.83511.8893.929-5.88115.9361.0008.0003.5680.9172.6500.8682.442-5.8637.6973.910-9.94011.7741.0001.00012.0298.1593.8721.2682.2062.03514.2833.767-2.30118.6191.00010.0003.5683.942-0.375-0.1232.472-2.92010.8043.929-6.96614.8511.0002.00012.02911.2580.7720.2532.8823.25819.2594.199-0.40022.9161.0003.00012.02912.343-0.313-0.1022.6844.89019.7964.0661.05423.6331.00011.0003.5685.384-1.817-0.5952.472-1.47812.2463.929-5.52516.2921.0007.0003.6684.407-0.732-0.2402.472-2.45611.2693.929-6.50215.3151.0004.0006.8026.2880.5110.1672.2060.16412.4123.767-4.17216.7481.00012.0003.5686.395-2.827-0.9262.442-0.38513.1743.910-4.46217.2511.0006.0006.8027.258-0.459-0.1502.4420.47914.0383.910-3.59818.1151.0005.0006.8026.6220.1770.0582.657-0.75513.9994.048-4.61717.862Regression of variable Individual 5:Goodness of fit statistics (Individual 5):Observations12.000Sum of weights12.000DF4.000R1.000Adjusted R1.000MSE0.000RMSE0.006MAPE0.057DW2.255Cp8.000AIC-121.089SBC-117.210PC0.000Press RMSE0.019Analysis of variance (Individual 5):SourceDFSum of squaresMean squaresFPr > FModel7143.00020.429623065.793< 0,0001Error40.0000.000Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 5):SourceDFSum of squaresMean squaresFPr > FTemperature293.87346.9361431549.131< 0,0001Sugar218.9469.473288927.169< 0,0001Lemon17.4947.494228564.178< 0,0001Intensity26.5703.285100190.644< 0,0001Goodness of fit statistics (MONANOVA) (Individual 5):ValueFNum DFDen DFPr > FWilks' Lambda0.0000009171447.0882788789146< 0,0001Pillai's trace0.99999908290.57142752331480.828Hotelling-Lawley trace1090365.13712725155766.448161035144< 0,0001Roy's greatest root1090365.13712725623065.79264414274< 0,0001Utilities (Individual 5):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept6.8550.0023934.022< 0,00016.8506.859Temperature-Ice4.4730.0031690.748< 0,00014.4664.481Temperature-Very warm-3.0550.003-1154.784< 0,0001-3.063-3.048Temperature-Warm-1.4180.002-643.420< 0,0001-1.424-1.412Sugar-1 sugar0.9190.002380.850< 0,00010.9130.926Sugar-2 sugar-1.8350.002-760.167< 0,0001-1.842-1.829Sugar-No sugar0.9160.002379.316< 0,00010.9090.922Lemon-no0.8130.002478.084< 0,00010.8080.818Lemon-yes-0.8130.002-478.084< 0,0001-0.818-0.808Intensity-Low0.5420.002224.682< 0,00010.5360.549Intensity-Medium0.5380.002222.956< 0,00010.5320.545Intensity-Strong-1.0810.002-447.639< 0,0001-1.087-1.074Standardized coefficients (Individual 5):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice0.9660.0011669.853< 0,00010.9650.968Temperature-Very warm-0.6260.001-1154.784< 0,0001-0.627-0.624Temperature-Warm-0.3410.001-643.420< 0,0001-0.342-0.339Sugar-1 sugar0.2170.001380.850< 0,00010.2160.219Sugar-2 sugar-0.4340.001-760.167< 0,0001-0.436-0.433Sugar-No sugar0.2170.001379.316< 0,00010.2150.218Lemon-no0.2360.000478.084< 0,00010.2340.237Lemon-yes-0.2360.000-478.084< 0,0001-0.237-0.234Intensity-Low0.1280.001224.682< 0,00010.1270.130Intensity-Medium0.1270.001222.956< 0,00010.1260.129Intensity-Strong-0.2560.001-447.639< 0,0001-0.257-0.254Predictions and residuals (Individual 5):WeightIndividual 5Monotone(Individual 5)Pred(Individual 5)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0008.0004.9534.9530.0000.0710.0054.9404.9650.0074.9324.9731.0009.0004.4404.440-0.004-0.6170.0054.4274.4530.0074.4204.4601.0007.0006.0846.088-0.003-0.4950.0046.0776.1000.0076.0696.1081.0006.0006.0846.0820.0040.7000.0056.0696.0940.0076.0616.1021.0003.0007.5997.5990.0020.4320.0057.5847.6140.0087.5777.6211.0001.00013.60313.603-0.001-0.1980.00513.58913.6170.00813.58213.6241.0005.0006.0846.0850.0010.1510.0056.0726.0980.0076.0646.1051.0004.0006.0846.0810.0040.7810.0056.0686.0940.0076.0616.1021.00011.0003.3253.330-0.007-1.2080.0043.3193.3420.0073.3113.3501.00012.0002.8252.825-0.001-0.0880.0052.8122.8370.0072.8042.8451.0002.00013.59513.595-0.001-0.2340.00513.58213.6080.00713.57513.6151.00010.0003.3253.3200.0040.7050.0053.3063.3330.0083.2983.341Regression of variable Individual 6:Goodness of fit statistics (Individual 6):Observations12.000Sum of weights12.000DF4.000R0.729Adjusted R0.256MSE9.674RMSE3.110MAPE28.192DW2.281Cp8.000AIC30.049SBC33.929PC1.353Press RMSE8.700Analysis of variance (Individual 6):SourceDFSum of squaresMean squaresFPr > FModel7104.30614.9011.5400.355Error438.6949.674Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 6):SourceDFSum of squaresMean squaresFPr > FTemperature222.08111.0401.1410.405Sugar255.41227.7062.8640.169Lemon113.14313.1431.3590.309Intensity21.7880.8940.0920.914Goodness of fit statistics (MONANOVA) (Individual 6):ValueFNum DFDen DFPr > FWilks' Lambda0.27058823531.5403726708740.355Pillai's trace0.72941176471.5403726708740.355Hotelling-Lawley trace2.69565217391.5403726708740.355Roy's greatest root2.69565217391.5403726708740.355Utilities (Individual 6):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept6.0930.9466.4380.0033.4658.721Temperature-Ice0.0481.4370.0330.975-3.9424.038Temperature-Very warm-1.6751.437-1.1660.309-5.6652.315Temperature-Warm1.6271.1971.3590.246-1.6964.951Sugar-1 sugar-2.4411.311-1.8610.136-6.0821.200Sugar-2 sugar-0.4881.311-0.3720.729-4.1293.153Sugar-No sugar2.9291.3112.2340.089-0.7126.570Lemon-no1.0770.9241.1660.309-1.4883.642Lemon-yes-1.0770.924-1.1660.309-3.6421.488Intensity-Low-0.4881.311-0.3720.729-4.1293.153Intensity-Medium0.4881.3110.3720.729-3.1534.129Intensity-Strong0.0001.3110.0001.000-3.6413.641Standardized coefficients (Individual 6):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice-0.0480.314-0.1520.887-0.9210.825Temperature-Very warm-0.3430.294-1.1660.309-1.1600.474Temperature-Warm0.3910.2881.3590.246-0.4071.189Sugar-1 sugar-0.5770.310-1.8610.136-1.4390.284Sugar-2 sugar-0.1150.310-0.3720.729-0.9770.746Sugar-No sugar0.6930.3102.2340.089-0.1681.554Lemon-no0.3120.2681.1660.309-0.4311.055Lemon-yes-0.3120.268-1.1660.309-1.0550.431Intensity-Low-0.1150.310-0.3720.729-0.9770.746Intensity-Medium0.1150.3100.3720.729-0.7460.977Intensity-Strong0.0000.3100.0001.000-0.8610.861Predictions and residuals (Individual 6):WeightIndividual 6Monotone(Individual 6)Pred(Individual 6)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0001.0009.6068.7972.5850.8312.5171.80915.7864.001-2.31219.9061.00012.0004.0926.758-2.699-0.8682.487-0.14613.6633.982-4.29817.8151.0008.0004.0926.356-2.297-0.7392.2460.12012.5933.837-4.29617.0081.0002.00011.8859.0852.2970.7392.5172.09616.0734.001-2.02420.1941.00011.0004.0924.576-0.517-0.1662.935-3.57212.7244.276-7.29716.4481.0007.0004.0924.289-0.230-0.0742.734-3.30111.8794.141-7.20815.7861.0003.00011.88511.727-0.345-0.1112.5174.73818.7154.0010.61822.8361.0005.0004.0924.691-0.632-0.2032.517-2.29811.6794.001-6.41815.8001.00010.0004.0925.667-1.608-0.5172.246-0.56911.9043.837-4.98516.3191.0006.0004.0920.9003.1591.0162.487-6.0047.8043.982-10.15611.9561.0004.00011.88510.6350.7470.2402.4873.73117.5393.982-0.42121.6911.0009.0004.0924.519-0.459-0.1482.706-2.99412.0314.123-6.92815.965Regression of variable Individual 7:Goodness of fit statistics (Individual 7):Observations12.000Sum of weights12.000DF4.000R1.000Adjusted R0.999MSE0.007RMSE0.086MAPE0.576DW1.496Cp8.000AIC-55.977SBC-52.098PC0.001Press RMSE0.251Analysis of variance (Individual 7):SourceDFSum of squaresMean squaresFPr > FModel7142.97020.4242741.298< 0,0001Error40.0300.007Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 7):SourceDFSum of squaresMean squaresFPr > FTemperature2140.47970.2409427.372< 0,0001Sugar20.6540.32743.8660.002Lemon14.0184.018539.238< 0,0001Intensity21.3200.66088.5990.000Goodness of fit statistics (MONANOVA) (Individual 7):ValueFNum DFDen DFPr > FWilks' Lambda0.00020840845.4361621899216.29303046670.019Pillai's trace0.99979159160.285624977121120.994Hotelling-Lawley trace4797.2710858112152.29432018452120.007Roy's greatest root4797.27108581122741.297763320774< 0,0001Utilities (Individual 7):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept6.5000.026247.474< 0,00016.4276.573Temperature-Ice4.9790.040124.836< 0,00014.8685.090Temperature-Very warm-4.9790.040-124.836< 0,0001-5.090-4.868Temperature-Warm0.0000.0330.0001.000-0.0920.092Sugar-1 sugar0.0730.0362.0130.114-0.0280.174Sugar-2 sugar-0.3250.036-8.9290.001-0.426-0.224Sugar-No sugar0.2520.0366.9160.0020.1510.353Lemon-no-0.5950.026-23.222< 0,0001-0.667-0.524Lemon-yes0.5950.02623.222< 0,00010.5240.667Intensity-Low0.3770.03610.3680.0000.2760.478Intensity-Medium0.0740.0362.0460.110-0.0270.176Intensity-Strong-0.4520.036-12.4140.000-0.553-0.351Standardized coefficients (Individual 7):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice1.0200.009116.897< 0,00010.9961.044Temperature-Very warm-1.0200.008-124.836< 0,0001-1.043-0.997Temperature-Warm0.0000.0080.0001.000-0.0220.022Sugar-1 sugar0.0170.0092.0130.114-0.0070.041Sugar-2 sugar-0.0770.009-8.9290.001-0.101-0.053Sugar-No sugar0.0600.0096.9160.0020.0360.083Lemon-no-0.1720.007-23.222< 0,0001-0.193-0.152Lemon-yes0.1720.00723.222< 0,00010.1520.193Intensity-Low0.0890.00910.3680.0000.0650.113Intensity-Medium0.0180.0092.0460.110-0.0060.042Intensity-Strong-0.1070.009-12.4140.000-0.131-0.083Predictions and residuals (Individual 7):WeightIndividual 7Monotone(Individual 7)Pred(Individual 7)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0009.0005.6285.654-0.030-0.3510.0705.4605.8480.1115.3465.9621.00010.0002.4422.4430.0040.0430.0692.2512.6340.1112.1362.7491.0007.0005.6285.5260.0981.1320.0625.3535.6990.1065.2305.8221.0004.0007.7257.7240.0060.0720.0707.5307.9180.1117.4168.0331.0003.00011.28211.298-0.017-0.1980.08111.07211.5240.11910.96811.6271.0002.00011.28211.334-0.054-0.6220.07611.12411.5450.11511.01511.6531.0008.0005.6285.704-0.081-0.9350.0705.5115.8980.1115.3966.0131.0006.0007.1967.243-0.044-0.5110.0707.0497.4370.1116.9357.5511.0005.0007.1967.1480.0510.5930.0626.9757.3210.1066.8527.4431.00011.0001.7371.7380.0000.0010.0691.5461.9290.1111.4312.0451.0001.00011.28211.2100.0710.8200.06911.01811.4010.11110.90311.5171.00012.0000.9770.978-0.004-0.0440.0750.7691.1860.1140.6601.296Regression of variable Individual 8:Goodness of fit statistics (Individual 8):Observations12.000Sum of weights12.000DF4.000R0.991Adjusted R0.975MSE0.321RMSE0.567MAPE6.368DW1.129Cp8.000AIC-10.815SBC-6.936PC0.045Press RMSE1.736Analysis of variance (Individual 8):SourceDFSum of squaresMean squaresFPr > FModel7141.71620.24563.0480.001Error41.2840.321Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 8):SourceDFSum of squaresMean squaresFPr > FTemperature238.59019.29560.0880.001Sugar27.5813.79111.8050.021Lemon146.53946.539144.9340.000Intensity224.47512.23738.1100.002Goodness of fit statistics (MONANOVA) (Individual 8):ValueFNum DFDen DFPr > FWilks' Lambda0.00898200141.2469687147216.29303046670.416Pillai's trace0.99101799860.281882067121120.995Hotelling-Lawley trace110.33376184293.50265910612120.245Roy's greatest root110.333761842963.0478639102740.001Utilities (Individual 8):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept6.5000.17237.696< 0,00016.0216.979Temperature-Ice2.6100.2629.9660.0011.8833.337Temperature-Very warm-2.6100.262-9.9660.001-3.337-1.883Temperature-Warm0.0000.2180.0001.000-0.6060.606Sugar-1 sugar0.0690.2390.2880.787-0.5940.732Sugar-2 sugar0.9690.2394.0560.0150.3061.633Sugar-No sugar-1.0380.239-4.3450.012-1.701-0.375Lemon-no2.0260.16812.0390.0001.5592.494Lemon-yes-2.0260.168-12.0390.000-2.494-1.559Intensity-Low-1.8850.239-7.8890.001-2.548-1.221Intensity-Medium0.1690.2390.7050.520-0.4950.832Intensity-Strong1.7160.2397.1830.0021.0532.380Standardized coefficients (Individual 8):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice0.5350.0579.3330.0010.3760.694Temperature-Very warm-0.5350.054-9.9660.001-0.683-0.386Temperature-Warm0.0000.0520.0001.000-0.1450.145Sugar-1 sugar0.0160.0570.2880.787-0.1410.173Sugar-2 sugar0.2290.0574.0560.0150.0720.386Sugar-No sugar-0.2460.057-4.3450.012-0.402-0.089Lemon-no0.5870.04912.0390.0000.4520.722Lemon-yes-0.5870.049-12.0390.000-0.722-0.452Intensity-Low-0.4460.057-7.8890.001-0.603-0.289Intensity-Medium0.0400.0570.7050.520-0.1170.197Intensity-Strong0.4060.0577.1830.0020.2490.563Predictions and residuals (Individual 8):WeightIndividual 8Monotone(Individual 8)Pred(Individual 8)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0001.0009.7859.6640.1210.2130.4598.39110.9370.7297.64011.6881.00011.0001.2250.9940.2290.4030.453-0.2632.2520.726-1.0203.0091.0005.0009.78510.312-0.527-0.9290.4099.17511.4480.6998.37112.2521.00012.0001.2251.551-0.328-0.5780.4590.2772.8240.729-0.4733.5751.0002.0009.7859.7690.0160.0290.5358.28411.2530.7797.60611.9321.0003.0009.7859.3200.4650.8210.4987.93710.7030.7547.22511.4151.0004.0009.7859.2050.5801.0240.4597.93110.4780.7297.18111.2291.0007.0004.8414.7110.1320.2330.4593.4385.9840.7292.6876.7351.0009.0003.5773.5580.0210.0370.4092.4224.6940.6991.6175.4991.00010.0003.5773.649-0.070-0.1240.4532.3914.9070.7261.6355.6641.0006.0009.78510.266-0.481-0.8500.4539.00911.5240.7268.25212.2811.0008.0004.8415.001-0.158-0.2790.4933.6326.3700.7512.9167.087Regression of variable Individual 9:Goodness of fit statistics (Individual 9):Observations12.000Sum of weights12.000DF4.000R0.977Adjusted R0.937MSE0.822RMSE0.907MAPE18.469DW1.440Cp8.000AIC0.465SBC4.345PC0.115Press RMSE2.872Analysis of variance (Individual 9):SourceDFSum of squaresMean squaresFPr > FModel7139.71219.95924.2790.004Error43.2880.822Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 9):SourceDFSum of squaresMean squaresFPr > FTemperature258.96829.48435.8660.003Sugar22.5641.2821.5590.316Lemon152.01952.01963.2800.001Intensity220.53010.26512.4870.019Goodness of fit statistics (MONANOVA) (Individual 9):ValueFNum DFDen DFPr > FWilks' Lambda0.02299454732.3976799191460.144Pillai's trace0.97700545270.54573979061480.846Hotelling-Lawley trace42.48857081096.06979583011440.047Roy's greatest root42.488570810924.2791833205740.004Utilities (Individual 9):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept5.7660.27620.899< 0,00015.0006.532Temperature-Ice-1.1070.419-2.6410.058-2.2700.057Temperature-Very warm-1.8300.419-4.3690.012-2.994-0.667Temperature-Warm2.9370.3498.4160.0011.9683.906Sugar-1 sugar0.4340.3821.1340.320-0.6281.495Sugar-2 sugar0.2310.3820.6050.578-0.8301.293Sugar-No sugar-0.6650.382-1.7390.157-1.7260.397Lemon-no2.1420.2697.9550.0011.3952.890Lemon-yes-2.1420.269-7.9550.001-2.890-1.395Intensity-Low1.1460.3822.9980.0400.0852.207Intensity-Medium0.7510.3821.9640.121-0.3111.812Intensity-Strong-1.8970.382-4.9620.008-2.958-0.835Standardized coefficients (Individual 9):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice-0.3300.092-3.6060.023-0.585-0.076Temperature-Very warm-0.3750.086-4.3690.012-0.613-0.137Temperature-Warm0.7050.0848.4160.0010.4730.938Sugar-1 sugar0.1030.0901.1340.320-0.1480.354Sugar-2 sugar0.0550.0900.6050.578-0.1960.306Sugar-No sugar-0.1570.090-1.7390.157-0.4080.094Lemon-no0.6210.0787.9550.0010.4040.837Lemon-yes-0.6210.078-7.9550.001-0.837-0.404Intensity-Low0.2710.0902.9980.0400.0200.522Intensity-Medium0.1780.0901.9640.121-0.0730.429Intensity-Strong-0.4490.090-4.9620.008-0.700-0.198Predictions and residuals (Individual 9):WeightIndividual 9Monotone(Individual 9)Pred(Individual 9)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0001.00011.95211.8270.1240.1360.7349.79013.8641.1668.58915.0661.00011.0000.9771.879-0.899-0.9910.725-0.1343.8911.161-1.3445.1021.0002.0009.4509.3820.0680.0760.6557.56411.2001.1186.27712.4871.0003.0007.7047.0410.6620.7310.7345.0049.0791.1663.80310.2801.00012.0000.7180.851-0.139-0.1530.855-1.5243.2261.247-2.6104.3121.0009.0007.7048.381-0.678-0.7470.7976.16910.5941.2075.03011.7331.0005.0007.7048.284-0.580-0.6390.7346.24610.3211.1665.04511.5221.0006.0007.7047.745-0.041-0.0450.7345.7089.7821.1664.50610.9831.0008.0007.7047.938-0.234-0.2580.6556.1199.7561.1184.83211.0431.00010.0000.9770.3300.6500.7170.725-1.6832.3421.161-2.8933.5531.0004.0007.7046.8880.8160.9000.7254.8758.9001.1613.66410.1111.0007.0007.7047.4550.2490.2750.7895.2659.6451.2024.11810.792Regression of variable Individual 10:Goodness of fit statistics (Individual 10):Observations12.000Sum of weights12.000DF4.000R1.000Adjusted R1.000MSE0.000RMSE0.000MAPE0.000DWCp8.000AICSBCPC0.000Press RMSE0.000Analysis of variance (Individual 10):SourceDFSum of squaresMean squaresFPr > FModel7143.00020.429Error40.0000.000Corrected Total11143.000Computed against model Y=Mean(Y)Type III Sum of Squares analysis (Individual 10):SourceDFSum of squaresMean squaresFPr > FTemperature279.20239.601Sugar237.66518.833Lemon10.8030.803Intensity215.4107.705Goodness of fit statistics (MONANOVA) (Individual 10):ValueFNum DFDen DFPr > FWilks' Lambda074Pillai's trace174Hotelling-Lawley traceRoy's greatest rootUtilities (Individual 10):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Intercept6.7240.195Temperature-Ice4.0560.000Temperature-Very warm-3.1620.000Temperature-Warm-0.8940.000Sugar-1 sugar-0.6030.000Sugar-2 sugar2.4810.000Sugar-No sugar-1.8770.000Lemon-no-0.2660.000Lemon-yes0.2660.000Intensity-Low1.1400.000Intensity-Medium0.4690.000Intensity-Strong-1.6090.000Standardized coefficients (Individual 10):SourceValueStandard errortPr > |t|Lower bound (95%)Upper bound (95%)Temperature-Ice0.8620.000Temperature-Very warm-0.6480.000Temperature-Warm-0.2150.000Sugar-1 sugar-0.1430.000Sugar-2 sugar0.5870.000Sugar-No sugar-0.4440.000Lemon-no-0.0770.000Lemon-yes0.0770.000Intensity-Low0.2700.000Intensity-Medium0.1110.000Intensity-Strong-0.3810.000Predictions and residuals (Individual 10):WeightIndividual 10Monotone(Individual 10)Pred(Individual 10)ResidualStd. residualStd. dev. on pred. (Mean)Lower bound 95% (Mean)Upper bound 95% (Mean)Std. dev. on pred. (Observation)Lower bound 95% (Observation)Upper bound 95% (Observation)1.0005.0008.5148.5140.0000.0000.0008.5148.5140.0008.5148.5141.00010.0002.4202.420-0.0000.0000.0002.4202.4200.0002.4202.4201.0009.0003.3513.3510.0000.0000.0003.3513.3510.0003.3513.3511.0008.0005.3585.3580.0000.0000.0005.3585.3580.0005.3585.3581.0001.00011.91711.9170.0000.0000.00011.91711.9170.00011.91711.9171.0002.00011.05011.050-0.0000.0000.00011.05011.0500.00011.05011.0501.00011.0002.0772.077-0.0000.0000.0002.0772.0770.0002.0772.0771.0007.0005.9625.9620.0000.0000.0005.9625.9620.0005.9625.9621.0003.0009.7179.7170.0000.0000.0009.7179.7170.0009.7179.7171.00012.0001.6151.615-0.0000.0000.0001.6151.6150.0001.6151.6151.0004.0009.1059.105-0.0000.0000.0009.1059.1050.0009.1059.1051.0006.0006.9166.916-0.0000.0000.0006.9166.9160.0006.9166.916

Conjoint analysis1.1762820824-0.707449849-0.46883223350.088649195-0.14835559790.0597064029-0.08262641140.0826264114-0.07203879140.02759574980.04444304160.04191839260.04191839260.03925263050.03925263050.0383408320.0383408320.04135901390.04135901390.04135901390.04135901390.04135901390.04135901390.03568603010.03568603010.03568603010.03568603010.04135901390.04135901390.04135901390.04135901390.04135901390.0413590139

Temperature-IceTemperature-Very warmTemperature-WarmSugar-1 sugarSugar-2 sugarSugar-No sugarLemon-noLemon-yesIntensity-LowIntensity-MediumIntensity-StrongVariableStandardized coefficientsIndividual 1 / Standardized coefficients(95% conf. interval)Temperature-IceTemperature-Very warmTemperature-WarmSugar-1 sugarSugar-2 sugarSugar-No sugarLemon-noLemon-yesIntensity-LowIntensity-MediumIntensity-Strong

Simulated market4.298768998104.2987689981145.25718656535.257186565312.302133898512.30213389855.25718656535.81234559724.29876899814.298768998112.30213389852.314617019

ActiveIndividual 1Monotone(Individual 1)Monotone(Individual 1) - Individual 1

Market Simulation-0.32854419490.27615745360.05238674120.0672488984-0.79886367970.73161478130.0703560016-0.0703560016-0.4055145530.4141698181-0.00865526510.00049338330.00049338330.0004620070.0004620070.00045127510.00045127510.00048679940.00048679940.00048679940.00048679940.00048679940.00048679940.00042002780.00042002780.00042002780.00042002780.00048679940.00048679940.00048679940.00048679940.00048679940.0004867994


5.2800092028012.3950298462147.1541772657.79896574941.22221769573.69191138399.96467132128.4560873691.32873359037.79896574949.96467132122.9445595059


0.0580946637-0.61870657420.5606119106-0.2208209790.5520524475-0.3312314685-0.59657947390.5965794739-00.220820979-0.2208209790.46043062110.46043062110.43114995320.43114995320.42113478110.42113478110.45428641840.45428641840.45428641840.45428641840.45428641840.45428641840.39197450.39197450.39197450.39197450.45428641840.45428641840.45428641840.45428641840.45428641840.4542864184


10.58452363603.5824831171143.582483117110.58452363610.5845236363.58248311713.582483117110.58452363610.5845236363.58248311713.58248311713.5824831171


0.7193910161-0.4101685376-0.30922247850.25257024440.1511660106-0.40373625490.151946576-0.1519465760.1511660106-0.39523622980.24407021920.85709723680.85709723680.8025909150.8025909150.78394754960.78394754960.84565972820.84565972820.84565972820.84565972820.84565972820.84565972820.72966532950.72966532950.72966532950.72966532950.84565972820.84565972820.84565972820.84565972820.84565972820.8456597282


3.567925697903.56792569791412.02933323443.567925697912.029333234412.02933323443.56792569793.66779736866.80152481293.56792569796.80152481296.8015248129


0.9664520218-0.6258452896-0.34060673220.2174813648-0.43408667160.21660530680.2355589997-0.23555899970.12830290330.1273172334-0.25562013670.0016069320.0016069320.00150474060.00150474060.0014697870.0014697870.00158548830.00158548830.00158548830.00158548830.00158548830.00158548830.00136801580.00136801580.00136801580.00136801580.00158548830.00158548830.00158548830.00158548830.00158548830.0015854883


4.952631154504.4400766972146.08390641016.08390641017.598751177913.60301576426.08390641016.08390641013.32499516012.824764656113.59514458933.3249951601


-0.0477307251-0.34313725490.39086798-0.5773502692-0.11547005380.6928203230.3119588741-0.3119588741-0.11547005380.115470053800.87284701270.87284701270.81733909810.81733909810.79835314760.79835314760.86119933170.86119933170.86119933170.86119933170.86119933170.86119933170.74307345280.74307345280.74307345280.74307345280.86119933170.86119933170.86119933170.86119933170.86119933170.8611993317


9.606478404204.0924792368144.092479236811.88456256724.09247923684.092479236811.88456256724.09247923684.09247923684.092479236811.88456256724.0924792368


1.019881524-1.01988152400.0173297922-0.076859750.0595299579-0.17247646180.17247646180.08925056170.0176128728-0.10686343460.02422374490.02422374490.02268325780.02268325780.0221563490.0221563490.02390049190.02390049190.02390049190.02390049190.02390049190.02390049190.02062219550.02062219550.02062219550.02062219550.02390049190.02390049190.02390049190.02390049190.02390049190.0239004919


5.628038526302.4417050882145.62803852637.724679142811.281528055411.28152805545.62803852637.19560263917.19560263911.736869819211.28152805540.9768409263


0.5345385063-0.534538506300.0162963130.2292354044-0.24553171740.5870215299-0.5870215299-0.44580831360.03986026180.40594805180.15902676810.15902676810.1489136050.1489136050.14545449430.14545449430.15690464010.15690464010.15690464010.15690464010.15690464010.15690464010.13538291130.13538291130.13538291130.13538291130.15690464010.15690464010.15690464010.15690464010.15690464010.1569046401


9.785442510201.2251702761149.78544251021.22517027619.78544251029.78544251029.78544251024.84119763093.57730456253.57730456259.78544251024.8411976309


-0.330494508-0.3749488120.705443320.10257811520.0546826849-0.15726080010.6206209306-0.62062093060.27105927890.1775680389-0.44862731770.25444628070.25444628070.23826500010.23826500010.2327303480.2327303480.25105082980.25105082980.25105082980.25105082980.25105082980.25105082980.21661559650.21661559650.21661559650.21661559650.25105082980.25105082980.25105082980.25105082980.25105082980.2510508298


11.952467215900.9772664858149.44993833967.7035345320.71831974887.7035345327.7035345327.7035345327.7035345320.97726648587.7035345327.703534532


0.862424961-0.6476864295-0.2147385315-0.14273542440.5868011894-0.444065765-0.07712403490.07712403490.26961135730.1110164412-0.3806277985-0.8624249610.8624249610.6476864295-0.64768642950.2147385315-0.21473853150.1427354244-0.1427354244-0.58680118940.58680118940.444065765-0.4440657650.0771240349-0.0771240349-0.07712403490.0771240349-0.26961135730.2696113573-0.11101644120.11101644120.3806277985-0.3806277985


8.513534668902.4196834182143.3505241275.358142435511.917414040711.04968117652.07653451285.96161120029.71652795791.61505839879.10517071276.9161173508


MarketTemperatureSugarLemonIntensityProduct AIce2 sugaryesLowProduct BWarm1 sugarnoMediumProduct CWarm2 sugaryesLowProduct DVery warmNo sugarnoStrongNew productIceNo sugaryesStrong

XLSTAT 2011.3.01 - Conjoint analysis simulation tool - on 19/07/2011 at 16:43:35Utilities table: Workbook = demo_conjoint.xls / Sheet = Conjoint analysis / Range = 'Conjoint analysis'!$C$21:$L$33 / 12 rows and 10 columnsVariable information: Workbook = demo_conjoint.xls / Sheet = Conjoint analysis / Range = 'Conjoint analysis'!$B$12:$F$16 / 4 rows and 5 columnsSimulated market: Workbook = demo_conjoint.xls / Sheet = Simulated market / Range = 'Simulated market'!$C$4:$F$9 / 5 rows and 4 columnsProduct ID: Workbook = demo_conjoint.xls / Sheet = Simulated market / Range = 'Simulated market'!$B$4:$B$9 / 5 rows and 1 columnModel: Complete profilesMethod: Logit(Beta=1)Variable information:Short nameNo. of categoriesCategory 1Category 2Category 3Temperature3IceVery warmWarmSugar31 sugar2 sugarNo sugarLemon2noyesIntensity3LowMediumStrongSimulated market:Product IDTemperatureSugarLemonIntensityProduct AIce2 sugaryesLowProduct BWarm1 sugarnoMediumProduct CWarm2 sugaryesLowProduct DVery warmNo sugarnoStrongNew productIceNo sugaryesStrongMarket share:Product IDMarket share (Total)Product A30.645Product B18.892Product C9.095Product D14.644New product26.724Market share plot:Utilities / Market share:Product IDUtilitiesMarket shareStandard errorProduct A0.30630.64536.911Product B0.18918.89234.059Product C0.0919.09526.204Product D0.14614.64430.094New product0.26726.72429.929Utilities (Individual data):Product IDIndividual 1Individual 2Individual 3Individual 4Individual 5Individual 6Individual 7Individual 8Individual 9Individual 10Product A20.2180.00116.09886.31123.1470.67755.9904.7750.02999.206Product B0.03010.1180.1320.3865.09010.6630.12964.04998.3090.010Product C0.0130.00583.6180.8880.0643.2850.3850.3511.6420.703Product D0.00686.9740.0000.1760.19551.7420.0017.3220.0200.000New product79.7332.9020.15112.24071.50333.63343.49623.5040.0010.081

00000

Market share (Total)

Documents

Demo Conjoint