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1、Correlations for Set-1 Y1Y2Y3 Y11.0000.9983.5012 Y2.99831.0000.5176 Y3.5012.51761.0000 第一组变量间的简单相关系数 Correlations for Set-2 X1X2X3X4X5X6X7X8X9X10X11X12X13 X11.0000-.3079-.7700-.7068-.6762-.7411-.7466-.5922-.1948-.1285-.2650-.9070-.6874 X2-.30791.0000-.0117.0103-.0613-.0283-.0140.3333.4161.3810.3831.
2、1098-.0640 X3-.7700-.01171.0000.9905.9860.9973.9990.5892.0421-.0196.2492.9515.9903 X4-.7068.0103.99051.0000.9910.9935.9952.5634.0249-.0367.2476.9120.9953 X5-.6762-.0613.9860.99101.0000.9887.9912.5717.0363-.0277.2475.8972.9926 X6-.7411-.0283.9973.9935.98871.0000.9985.5563.0142-.0453.2210.9355.9950 X7
3、-.7466-.0140.9990.9952.9912.99851.0000.5795.0319-.0298.2441.9390.9945 X8-.5922.3333.5892.5634.5717.5563.57951.0000.7097.6540.8990.6619.5138 X9-.1948.4161.0421.0249.0363.0142.0319.70971.0000.9922.8520.1350-.0228 X10-.1285.3810-.0196-.0367-.0277-.0453-.0298.6540.99221.0000.8184.0752-.0801 X11-.2650.38
4、31.2492.2476.2475.2210.2441.8990.8520.81841.0000.3093.1840 X12-.9070.1098.9515.9120.8972.9355.9390.6619.1350.0752.30931.0000.9040 X13-.6874-.0640.9903.9953.9926.9950.9945.5138-.0228-.0801.1840.90401.0000 Correlations Between Set-1 and Set-2 X1X2X3X4X5X6X7X8X9X10X11X12X13 Y1-.7542-.0147.9995.9940.989
5、2.9989.9998.5788.0334-.0280.2426.9430.9937 Y2-.7280-.0234.9965.9958.9954.9977.9988.5859.0485-.0136.2573.9285.9949 Y3-.4485.2952.5096.4955.5230.4760.5048.9695.7610.7071.9073.5449.4500 Canonical Correlations 11.000 21.000 31.000 第一对典型变量的典型相关系数为CR1=1.二三 Test that remaining correlations are zero:维度递减检验结
6、果降维检验 WilksChi-SQDFSig. 1.000.000.000.000 2.000.00024.000.000 3.000103.48911.000.000 此为检验相关系数是否显著的检验，原假设：相关系数为0，每行的检验都是对此行及以后各行 所对应的典型相关系数的多元检验。第一行看出，第一对典型变量的典型相关系数不是0的，相 关性显著。第二行sig值P=0.0000.05，在5%显著性水平显著。第三同二。 Standardized Canonical Coefficients for Set-1(标准化变量的典型相关的换算系数） 123 Y112.146-1.52712.981
7、Y2-11.4612.051-13.787 Y3-.422.599.986 Raw Canonical Coefficients for Set-1（原始变量的典型相关变量的换算系数） 123 Y1.002.000.002 Y2.000.000.000 Y3-.196.279.458 第一个典型变量的标准化典型系数为12.146和-11.461、-0.422。 Cv1-1=12.146Y1-11.461Y2-0.422Y3.同上 Standardized Canonical Coefficients for Set-2（典型负载系数）（结构相关系数：典型变 量与原始变量之间的相关系数） 123
8、 X1-.503-.350-1.854 X2.323.1721.051 X3.9911.2633.796 X4-6.342-1.593-15.640 X5-1.6163.2566.526 X6-3.593-1.138-10.125 X78.644-2.0308.132 X8-2.506-.024-4.343 X9-2.187-1.566-8.282 X101.4761.3876.546 X112.048.6675.396 X12.464-.195.207 X132.623.9597.123 Raw Canonical Coefficients for Set-2 123 X1-6.480-4.
9、504-23.879 X28.5914.58627.983 X3.000.000.001 X4-.008-.002-.020 X5-.008.016.031 X6-.002-.001-.006 X7.001.000.001 X8-1.013-.010-1.756 X9-.571-.409-2.162 X10.253.2371.121 X11.677.2211.784 X12.000.000.000 X13.000.000.000 Cv2-1=-0.503x1+0.323x2.-2,-3同上 Canonical Loadings for Set-1 123 Y1.493.821-.288 Y2.
10、445.837-.318 Y3-.267.896.355 Cross Loadings for Set-1 123 Y1.493.821-.288 Y2.445.837-.318 Y3-.267.896.355 Canonical Loadings for Set-2 123 X1-.627-.610-.195 X2-.035.151.423 X3.504.823-.262 X4.450.822-.338 X5.386.845-.367 X6.497.806-.319 X7.483.825-.294 X8-.094.899.392 X9-.472.504.515 X10-.482.439.52
11、2 X11-.385.701.497 X12.582.791-.023 X13.476.793-.375 Cross Loadings for Set-2 123 X1-.627-.610-.195 X2-.035.151.423 X3.504.823-.262 X4.450.822-.338 X5.386.845-.367 X6.497.806-.319 X7.483.825-.294 X8-.094.899.392 X9-.472.504.515 X10-.482.439.522 X11-.385.701.497 X12.582.791-.023 X13.476.793-.375 典型负荷
12、系数和交叉负荷系数表 重叠系数分析 Redundancy Analysis: Proportion of Variance of Set-1 Explained by Its Own Can. Var. Prop Var CV1-1.171 CV1-2.726 CV1-3.103 Proportion of Variance of Set-1 Explained by Opposite Can.Var. Prop Var CV2-1.171 CV2-2.726 CV2-3.103 Proportion of Variance of Set-2 Explained by Its Own Can. Var. Prop Var CV2-1.204 CV2-2.523 CV2-3.139 Proportion of Variance of Set-2 Explained by Opposite Can. Var. Prop Var CV1-1.204 CV1-2.523 CV1-3.139 0.171=CR12*0.171=12*0.171 0.204=CR12*0.204=12*0.204 - END MATRIX -
