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2、因所分析的4个变量均为区间测量水平,可进行正态分布拟
1)按analyze—descriptive statistics--frequecies顺序,打开frequecies 对话框2)因所分析的4个变量均为区间测度变量,将4个变量选入Variable(s)框中3)单击“statistics”按钮,选择所要计算Std devition、Variance 、Minimum Maximum 、Skewness、Kurtosis。单击“Continue”返回requecies对话框4)单击“chart”按钮, 选择histograms,with normal curve,单击“Continue”5)单击“format”按钮, 选择变量顺序,(此例不需选),单击“Continue”
对话框,然后单击“OK”按钮。结果如下表
表3-4 回归分析结果表
Statisticsstock inshanghaiexchange1208.659E-027.498E-03.683.637.7751.232-.0850.2400totalindustry rate1203.91975E-021.53645E-03-.534.6371.8721.232.0210.1800total consumerate1201.87423E-023.51273E-042.053.6374.9201.232.0600.1290NStd. DeviationVarianceSkewnessStd. Error of SkewnessKurtosisStd. Error of KurtosisMinimumMaximumValidMissingstock index120.1556832.42371E-02-1.174.637.9271.232-.3200.2200从表3-2中可看出,变量是服从正态分布的,而变量的峰度太大从图3-3可看出,的分布靠近中心值过多。
图3-3变量直方图total consume rate65432Frequency10.062.075.087.100.112.125Std. Dev = .02 Mean = .078N = 12.00total consume rate3、单因素分析---一元线性回归
1)按analyze—regression—linear, 打开linear 对话框2)将变量stock index选入Independent 框中
3) 在linear 对话框中选择的Method参数框中选择Stepwise
4)单击“statistics”按钮,选顶Descriptive复选项,其他参数为默认值。5)单击“OK”按钮。结果如下表
表3-5 变量相关信息表
Correlationsstock inshanghaiexchangePearson CorrelationSig. (1-tailed)Nstock in shanghaiexchangestock indexstock in shanghaiexchangestock indexstock in shanghaiexchangestock index1.000.776..0011212stock index.7761.000.001.1212从上表可看出,股票收益率与综合指数变动率为正相关关系,其相关系数为0.776这表明:综合指数每增加100%,则股票收益率增加77.6%.
表3-6为综合信息表,它反映了模型的拟合程度。
表3-6 变量相关信息表
表3-7 方差表
表3-8 回归系数及检验表
Model SummaryAdjusted RStd. Error ofModelRR SquareSquarethe Estimate1.776a.603.5635.72285E-02a. Predictors: (Constant), stock indexANOVAbSum ofModelSquaresdfMean SquareFSig.1Regression4.973E-0214.973E-0215.184.003aResidual3.275E-02103.275E-03Total8.248E-0211a. Predictors: (Constant), stock indexb. Dependent Variable: stock in shanghai exchangeCoefficientsaStandardizedUnstandardizedCoefficieCoefficientsntsModelBStd. ErrorBetatSig.1(Constant)4.698E-02.0172.835.018stock index.432.111.7763.897.003a. Dependent Variable: stock in shanghai exchange
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