spss分析案例数据

《数据分析及其应用软件》习题姓名＿＿ 学号＿＿ ＿成绩习题1：出钢时所用盛钢水的钢包，因钢水对耐火材料的侵蚀，容积不断增大我们期望找出访用次数与增大的容积之间的关系，试验数据如下：2345678910111213141516y6.428.209.589.509.7010.009.939.9910.4910.5910.6010.8010.6010.9010.76写出分析报告〔内容包括以下四点〕 用双曲线1/y=a+b/x作曲线拟合〔1〕画出散点图，〔2〕写出归方程，〔3〕进展检验，〔4〕分析结果， 〔α=0.05〕 指数曲线y=aeb/x作曲线拟合：〔1〕画出散点图，〔2〕写出回归方程，〔3〕进展检验，〔4〕分析结果， 〔α=0.05〕 使用较优的曲线回归方程推测当使用次数为17次时钢包的容积增大多少？习题2：1．争论货运总量〔万吨〕与工业总值

(亿元)、农业总产值 〔亿编号货运总量工业总产值农业总产值编号货运总量工业总产值农业总产值居民非商品支出〔万吨〕〔亿元〕〔亿元〕〔亿元〕116070351.0226075402.4321065402.0426574423.0524072381.2622068451.5727578424.0816066362.0927570443.21025065423.0计算出求关于

的相关系数矩阵；的三元线性回归方程；对所求得的回归方程作拟合优度检验；对回归方程做显著性检验；对每一个回归系数做显著性检验；假设有的回归系数没有通过显著性检验，将其剔除。检验；求出每一个回归系数的之置信水平为95%的置信区间；求出标准化回归方程；〔9〕求当 =75, =42, =3.1时的值，给定置信水平为99%，用SPSS软件计算准确置信区间，用手工计算近似推测区间；〔10〕结合回归方程对问题作一些根本分析。3：为争论某地区人口死亡状况，已按某种方法将15个样品分为3类，于哪一类？某地区人口死亡状况指标及原始数据表序=序=0岁=1岁=10岁=55岁=80岁=平均号组死亡概率组死亡概率组死亡概率组死亡概率组死亡概率预期寿命第一组2组233.066.341.086.7794.0869.70336.269.241.048.9797.3068.80440.1713.451.4313.88101.2066.20550.0623.032.8323.74112.5263.30

7.44

1.12

7.87

95.19

69.30133.246.241.1822.90160.0165.40第二232.224.221.0620.70124.7068.70组341.1510.082.3232.84172.0665.85453.0425.744.0634.87152.0363.50538.0311.206.0727.84146.3266.80134.035.410.075.2090.1069.50第三232.113.020.093.1485.1570.80组344.1215.121.0815.15103.1264.80454.1725.032.1125.15110.1463.70528.072.010.073.0281.2268.30待150.226.661.0822.54170.6065.20判234.647.331.117.7895.1669.30样333.426.221.1222.95160.3168.30品444.0215.361.0716.45105.3064.20

对中国乡镇企业绩效的进展聚类分析.数据见表1.表1、原始数据地区净利润营业收入增加值率企业个数盈利个数全员劳动生产率北京567266957155522.3711875411710020698天津12206851575286522.0612132912083629242河北61142747629386225.67101298497937023661山西11957221494204826.1529413927756816115内蒙古31118703042581528.4591116190511321476辽宁42858946396648124.591028432101591337607吉林15306421908703827.1776461675591722758黑龙江5347651175591624.1724586924574618796上海9233362066361121.29376922190242769江苏25947579544800921.4490345688540128529浙江558280712780678421.171081514101026832250安徽17909902418081328.3771077469501714342福建23348785598871822.6280702274024125070江西9472041454694425.8571768069355713515山东460250510975897121.62048217195013520274河南52980536045882726.091081731104332418701湖北20054034524197222.8592620789102317094湖南42554536960145625.712226562216951420262广东42776458555757323.7276655772689323573广西9896342288975920.5986790783250910570海南120524150122526.12407193981114270重庆271802922573523.6410669110528415351四川9102813735576419.341374560134800214009贵州669816638103125.5237299632033912429云南8306821779090522.0565492365034110539西藏陕西11032862016227525.1189749186828512591甘肃419893670157922.322490822266810595青海3461664922720.9854865532287394宁夏109083156505524.161303571295077644疆191764307149724.683165243045699248续表一、原始数据地区流淌资产固定资产职工人数银行借款资本金北京46593893931311101811710243082924903天津49432904148950120486311804932303981河北12465461174841758226605403808610332912山西3557340578089028042019385412934108内蒙古3227037526749640168664602903333205辽宁87633139329875453961919997246980228吉林2372734361468524945265133102409414黑龙江1861422267900714516925633401871204上海108326757789596137983726841616258380江苏32606238250730037680355809673016462531浙江34257475297148538311974997997220763537安徽50893237351798474788014500824952914福建9853152111604455436920164688310778050江西2264148339994030258628441162425545山东256102812644708212671968628459614179543河南1126250515312738838931627116299442756湖北841918810129567621641120276426427542湖南75572589399762926239316990736723945广东24910272322305539232307673624019485556广西3234113526962034712068715653214208海南278001796182275868182675465657重庆2418088226702314998826243481656726四川65693077031491593804925046475130203贵州3241104177418514062175419972387169云南33014615809520254676510317432912189西藏陕西32245703934343385060011482872769354甘肃1364007173503115317555010741124357青海176344363754232662124070209130宁夏411855679716484183147424429111疆7909811266081752463263604677916习题5：利用主成分分析方法和下表中20个城市高技术产业化力量数据，一级指标二级指

《对20个城市高技术产业化力量进展横向评价》20个城市高技术产业化力量指标和数值表〔2006年原始数据〕高技术产业化高技术产业化水平标

高技术产业化效益三级指标高技术产业增加值占工业增加值比重学问密集型产业增加值占生产总值比重高技术产品出口额占商品出口额比重产品销售收入占产品销售收入比重高技术产业劳动生产率高技术产业增加值率学问密集型产业劳动生产率地区%%%%万元/人%万元/人北京26.5732.4546.0117.6421.5118.3821.94天津24.3910.0147.3928.1230.6326.3817.39沈阳9.328.9327.3619.5711.7627.2919.09大连10.4512.3314.4110.9115.5627.8137.70长春3.2210.356.8145.1110.3342.2421.18哈尔滨14.018.724.2415.9510.0930.9116.88上海19.2417.7240.6030.1421.5620.7926.80南京16.9510.7026.0019.5018.6318.3931.90苏州31.847.2865.837.5212.9222.1769.21杭州12.5112.3634.3216.5616.0814.7633.48宁波6.599.945.8913.975.9117.6249.76厦门42.4110.9232.9022.6117.8225.5344.63济南34.4510.9910.1917.7329.7638.3729.39青岛8.807.7411.6332.4116.3324.6938.84武汉17.2611.4726.8210.6524.9437.1219.23广州8.8112.0823.7117.889.1523.5934.99深圳51.8213.0248.2215.5315.0020.6851.15重庆6.248.144.3731.4610.7034.7810.22成都16.8512.5020.881