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1、回归分析例题SPSS求解过程1、一元线性回归W 为研究家庭收入与家庭食品支出的关系，随机抽取了 10 个家庭得到表的数锯.试根据这些数据：1）建立家庭食品支出对家庭收人的样本回归直线=2）预测当家庭收入为4 200元时，家庭的平均食晶支出及其置信度 为於的预测区间. 家庭收入与食品支出魏將单位土百元家庭123456789to家庭收人20303340151326383543食品支出7981154810910SPSS求解过程:|日41 SJ丰I由I *1 *1胡阖曲I阖列I1O :京品支岀llri 1. i 1： 1 f?ilSPSS Dit M Filled rEile di t Mi ew Q
2、ala Iransf&rmirilyzegraphs Utilities 址120.007.00230.009.00333.006.00440.00T1.00515.005.00613.004.0072&D06.00E3B.0D10.00935.009.00r1043.0010.00io :音品玄出家庭收入|食用支出I12tseer i pt i v* t a.t i c: t i ce Iabl*sComp*ie Me arts&enei-ol Li n.c： ar Mo delMiic A-d Mio dal sKeEFcss-i on131LgLi ne-u.-Cla.=-=iDa.t
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6、delVariables EnteredVariablesRetnov&dMethod1Eniera- All requested variables entered.lo. Depen dent Van able.食邮支出Model SummaryModelRF? SquareAdjusted R SquareStd. Error of the Estimate1.951a.904.892.73304a Predictors; CConslsnf)，家庭收入ANOVAbModelSum ofSquaresdfMean SquareFSig.1RegressionResidual Total4
7、0.6014.29944.9001a940.601.53775.559.00Ja. Predictors: (ConsianD,家庭悅A_b. Depen dent Vari able：宸品支出CoefficienlsBModelMndardlzedCoefficientsStandardizedCoefficientstSig.95% Confidents IM for BBSid. ErrorBetaLower BoundUpper Bound1(Co怫皿2.1737203.017.5123.333KBftA.2020238.692000.149.266a. Dependent Vari
8、able判别：码+=2.173+0.202x，且x与 y的线性相关系数为r=0.951 ，回归方程的F检验值为75.559，对应F值的显著性概率是0.0000.05,表示回归方程不具 有显著性。每个系数的t检验值分别是3.017与8.692，对应的检验显著性概率 分别为：0.017(0.05 )和0.000 (0.05)，即否定H。，也就是线性假设是显 著的。二、一元非线性回归例4,3.1出钢时所用的盛钢水的钢包*由于钢水对耐火材料的侵 蚀,容积不断增大希望找出使用次数X与增大的容积丫之间的关系试 验数据列于表4.34.S4J.1使用次散X与增大的容积F的试螫數据2345678g6.428.2
9、09.589.509.7010.009.939.9910tl1213141516y10.4910.5910.6010.8010.6010.9010.76SPSS求解过程:EH) tTn-t red SPSSa： 11 oxrELi 1 * 蔓dli. Vi s*w Sat aHit宅皿奇牴oirm匣旷与;phic1ft i 1 i i; i世i-ndow耳冏 吨 sIT 7曲|刨间匪l圏画阖Z%J|1S :IO. TS次数X春积”var|var5g126 42233.203A9.58459.60569.706710.00789.93e99.9991O10 49101 11O 591 1121D
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