多元线性回归进行及spss服装销售量预测.doc

多元线性回归进行及spss服装销售量预测 2006.07 2006.08 2006.09 2006.10 2006.11 2006.12 1626 1648 1662 1692 1649 1686 100.0 100.0 99.9 100.2 100.3 100.3 101.8 101.2 101.0 100.9 100.9 101.3 13.87 15.66 15.19 15.38 14.77 13.98 0.896 0.949 0.931 1.082 0.845 0.876 1.013 0.996 1.020 0.998 0.972 0.923 103937 121832 118273 149861 102868 104162 116447.2614 125262.581 124713.2335 133110.7603 114915.0285 112764.3824 12.036388 2.815829 5.445227 11.177184 11.711149 8.258657 x1 x2 x3 x4 x5 x6 y 平均误差% 7 观测值 预测 Y 残差 标准残差 1 125028.8 729.1727 0.151838 2 120129.1 -7523.08 -1.56656 3 82051.64 -3056.64 -0.6365 4 87768.8 -6682.8 -1.39158 5 101816 4256.98 0.886447 6 84801 1706.003 0.355247 7 90424.18 -2436.18 -0.5073 8 89545.14 2845.86 0.592604 9 96313.22 -3709.22 -0.77239 10 102890.2 3080.794 0.641525 11 88205.7 -3907.7 -0.81372 12 88212.71 3319.289 0.691188 13 115852.7 -7447.65 -1.55085 14 144914 -4216.97 -0.87811 15 81496.87 4777.128 0.994759 16 83325.37 1769.627 0.368496 17 95097.25 -834.253 -0.17372 18 80666.56 6530.443 1.359858 19 88253.22 2443.777 0.508877 20 97400.92 -2062.92 -0.42957 21 96244.67 1302.332 0.271189 22 108835.1 -349.071 -0.07269 23 95385.68 -2258.68 -0.47033 24 98368.2 -2054.2 -0.42775 25 143359.9 4181.066 0.870639 26 131675.2 -4591.23 -0.95605 27 90514.69 -91.6896 -0.01909 28 103025.3 -4982.29 -1.03748 29 118472.3 9135.71 1.902363 30 95589.25 -338.251 -0.07044 31 96750.83 678.1717 0.141218 32 104729.3 2008.748 0.418289 33 101334.1 -3158.05 -0.65761 34