数据的回归分析

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1、数据分析方法实验报告专业班级姓名组别同组实验人员信息与计算科学01实验日期2014-11-14周五5-8节指导老师刘劲光评分实验名称数据的回归分析实验目的熟悉变量间的回归模型并对变量进行预测实验步骤：实验步骤：一、用Excel软件编写实验数据，并保存二、安装SPSS并导入Excel保存的数据三、按照题目要求，计算相应的数据，和绘制相应的图形四、运行结果如下：TotalVarianceExplainedComponentInitialEigenvaluesExtractionSumsofSquaredLoadingsTot

2、al%ofVarianceCumulative%Total%ofVarianceCumulative%12.42180.68780.6872.42180.68780.6872.53417.80998.4963.0451.504100.000ExtractionMethod:PrincipalComponentAnalysis.ComponentMatrixaComponent1x1.775x2.943x3.964ExtractionMethod:PrincipalComponentAnalysis.a.1componen

3、tsextracted.TotalVarianceExplainedComponentInitialEigenvaluesaExtractionSumsofSquaredLoadingsTotal%ofVarianceCumulative%Total%ofVarianceCumulative%Raw1110.00480.35680.356110.00480.35680.356225.32418.49998.85531.5681.145100.000Rescaled1110.00480.35680.3562.40680.2

4、0480.204225.32418.49998.85531.5681.145100.000ExtractionMethod:PrincipalComponentAnalysis.a.Whenanalyzingacovariancematrix,theinitialeigenvaluesarethesameacrosstherawandrescaledsolution.CommunalitiesRawRescaledInitialExtractionInitialExtractionx151.74551.7451.0001

5、.000x223.45623.4561.0001.000x361.69661.6961.0001.000ExtractionMethod:PrincipalComponentAnalysis.ComponentMatrixaRawRescaledComponentComponent123123x15.865-4.165.060.815-.579.008x24.4191.6781.056.912.347.218x37.4892.272-.670.953.289-.085ExtractionMethod:PrincipalC

6、omponentAnalysis.a.3componentsextracted.TotalVarianceExplainedComponentInitialEigenvaluesaExtractionSumsofSquaredLoadingsTotal%ofVarianceCumulative%Total%ofVarianceCumulative%Raw1110.00480.35680.356110.00480.35680.356225.32418.49998.85525.32418.49998.85531.5681.1

7、45100.0001.5681.145100.000Rescaled1110.00480.35680.3562.40680.20480.204225.32418.49998.855.53917.96698.17031.5681.145100.000.0551.830100.000ExtractionMethod:PrincipalComponentAnalysis.a.Whenanalyzingacovariancematrix,theinitialeigenvaluesarethesameacrosstherawand

8、rescaledsolution.ComponentMatrixaRawRescaledComponentComponent123123x15.865-4.165.060.815-.579.008x24.4191.6781.056.912.347.218x37.4892.272-.670.953.289-.085Ex