Part and partial correlations[部分相关和偏相关性] Collinearity diagnostics[共线性诊断] Residuals[残差]
Durbi-Watson[杜宾-沃森] Casewise diagnostics[个案诊断]
Outliers outside：x standard deviations[外离群：3标准差] All cases[全部个案] 图[Plots] DEPENDNT
*ZPRED 标准化的预测值：Standardized predicted values *ZRESI 标准化残差： Standardized residuals *DRESI 剔除残值： Deleted residuals *ADJPR 调整后的预测值：Adjusted predicted values *SRESI 学生化残值： Studentized residuals *SDRES 学生化剔除残值：Studentized deleted residuals Standardized Residual Plots[标准化残差图] Histogram[直方图]
Normal probability plot[正态概率图] Produce all partial plots[产生所有部分图] 保存[Save]
Predicted Values[预测值] Unstandardized[未标准化]
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Standardized[标准化] Adjusted[调整]
S.E. of mean predictions[均值预测值的标准差] Residuals[残差]
Unstandardized[未标准化] Standardized[标准化] Studentized[学生化] Deleted[剔除]
Studentized deleted[学生化剔除] Distances[距离] Mahalanobis Cook`s
Leverage values[杠杆值] Influence Statistics[影响统计量] DfBeta(s)
Standardized DfBeta(s) DfFit
Standardized DfFit Covariance ratio
Prediction Intervals[预测区间] Mean[均值] Individual[单值] Confidence Interva[置信区间]:95%
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Save to New File[保存为新文件] Coefficient statistics[]
Export model information to XML file[将模型信息输出到XML文件] Include the covariance matrix[包括协方差矩阵] 选项[Options]
Stepping Method Criteria[步进方法标准] Use probability of F[使用 F 的概率] Entry[进入]：0.05 Removal[删除]：0.10 Use F value[使用 F 值]
Entry[进入]：3.84 Removal[删除]：2.71 Include constant in equation[在等侍中包含常量] Missing Values[缺失值]
Exclude cases listwise[按列表排除个案] Exclude cases pairwise[按对排除个案] Replace with mean[使用均值替换]
曲线回归分析：Analyze> Regression>Curve Estimation...
一元线性(Linear)：y??0??1x二次曲线(Quadratic)：y??0??1x??2x2?y??0??1x??2x1(x1?x2)复合曲线(Compound)：y??0?1x?ln(y)?ln(?0)?ln(?1)x增长曲线(Growth)：y?e?0??1x?ln(y)??0??1x对数曲线(Logarithmic)：y??0??1ln(x)?y??0??1x1(x1?ln(x))三次曲线(Cubic)：y??0??1x??2x2??3x3?y??0??1x??2x1??3x2(xi?xi?1)Ｓ型曲线(S)：y?e?0??1/x?ln(y)??0??1x1(x1?1/x)指数曲线(Exponential)：y??0e?1x?ln(y)?ln(?0)??1x逆函数(Inverse)：y??0??1/x?y??0??1x1(x1?1/x)
- 13 - 幂函数(Power)：y??0?x?1?ln(y)?ln(?0)??1x1(x1?ln(x))逻辑函数(Logistic)：y?1/(1/???0?1x)?ln(1y?1?)?ln(?0?ln(?1)x)
----年人均消费支出和教育.sav：教育支出/年人均消费支出[年份]，在外就餐/T Chapter10. 聚类分析
层次聚类：Analyze>Classify>Hierarchical Cluster ----商厦评分.sav[Q] ----小康指数.sav[Q] ----裁判打分.sav[R] 快速聚类：Analyze>Classify>K-Means Cluster ----小康指数.sav[Q] Chapter11. 因子分析
主成分分析：Analyze>Data Reduction>Factor ----各地区年平均收入.sav
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SPSS讲义
