数据分析验证性实验报告

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1、数据分析验证性实验报告一、题目1、1991年我国30个省、区、市城镇居民月平均消费八个指标（单位均为元/人）X1:人均粮食支出X2:人均副食支出X3:人均烟茶支出X4:人均其它副食支出X5:人均衣着商品支出X6:人均日用品支出X7:人均燃料支出X8:人均非商品支出省区市X1X2X3X4X5X6X7X8山西8.3523.537.518.6217.4210.001.0411.21内蒙古9.2523.756.619.1917.7710.481.7210.51吉林8.1930.504.729.7816.287.602.5210.32黑龙江7.7329.205

2、.429.4319.298.492.5210.00河南9.4227.938.208.1416.179.421.559.76甘肃9.1627.989.019.3215.999.101.8211.35青海10.0628.6410.5210.0516.188.391.9610.81河北9.0928.127.409.6217.2611.122.4912.56陕西9.4128.205.7710.8016.3611.561.5312.17宁夏8.7028.127.2110.5319.4513.301.6611.96新疆6.9329.854.549.4916.62

3、10.651.8813.61湖北8.6736.057.317.7516.6711.682.8312.88云南9.9837.697.018.9416.1511.080.8311.67湖南6.7738.696.018.8214.7911.441.7413.23安徽8.1437.759.618.4913.159.761.2811.28贵州7.6735.718.048.3115.137.761.4113.25辽宁7.9039.778.4912.9419.2711.052.0413.29四川7.1840.917.328.9417.6012.751.1414.0

4、8山东8.8233.707.5910.9818.8214.731.7810.10江西6.2535.024.726.2810.037.151.9310.39福建10.6052.417.709.9812.5311.702.3114.69广西7.2752.653.849.1613.0315.261.9814.57海南13.44555.855.507.459.559.522.2116.30天津10.8544.687.3214．5117.1312.081.2611.57江苏7.2145.797.6610.3616.5612.862.2511.69浙江7.685

5、0.3711.3513.3019.2514.592.7514.87北京7.7848.448.0020.5122.1215.731.1516.61西藏7.9439.6520.9720.8222.5212.411.757.90上海8.2864.348.0022.2220.0615.120.7222.89广东12.4776.395.5211.2414.5222.005.4625.50设前20个省份为第1类G1，21-27号省份（即福建，…，北京）为第2类G2，最后三个省份（西藏、上海、广东）待判。试判别西藏、上海、广东各属哪一类，并计算判别率的回代估计。8

6、0二、程序1.录入数据2.按“Analyze→Classify→Discriminant”顺序，打开DiscriminantAnalysis主对话框，选择“类别”为GroupingVariable（分组变量），定义“类别”的区域，选择x1、x2、x3、x4、x5、x6、x7、x8为IndepentVariable（解释变量）。3.点击Statistics按钮，进入Statistics对话框，在Descriptives栏选择Mean（对各组的各个变量作均值和标准差的描述；②在FunctionCoefficients栏（判别函数的系数）选择Fisher’

7、s(Fisher线性判别函数)和Unstandardized（判别方程的非标准化系数）非标准化函数；③在Matrices栏选Within-groupscorrelation（组内相关矩阵）,Within-groupscovariance(组内协方差矩阵)，Separate-groupscovariance(组间协方差矩阵)，Totalcovariance(总协方差矩阵)。4.点击Classification按钮，进入Classification对话框。在PriorProbabilities栏选择Allgroupsequal；②在display栏选择c

8、asewiseresults（每个个体的结果），Summerrytable（综合表）5.点击Save按钮，保