(8)在Regression Coefficient框内点选Confidence intervals,在Residuals框内点选Durbin-Watson和Casewise diagnosis,并在主对话框内点选R squared change、Descriptives、Part and partial correlations和Collinearity diagnosis (9)点击Continue,回到主界面...
(7)点击Statistics,弹出下图: (8)在Regression Coefficient框内点选Confidence intervals,在Residuals框内点选Durbin-Watson和Casewise diagnosis,并在主对话框内点选R squared change、Descriptives、Part and partial correlations和Collinearity diagnosis (9)点击Continue,回到主界面。 (10)点击Plots,弹出下图: (11)在St...
为了检验假设6,我们主要关注相关系数(correlation coefficients)和容忍度/方差膨胀因子(Tolerance/VIF)两类指标。一般来说,如果自变量之间的相关系数大于0.7,或者容忍度小于0.1,方差膨胀因子大于10,我们就会怀疑模型存在多重共线性。 3.2.5 假设7:不存在显著的异常值 根据作用方式的不同,分层回归的异常值主要分为离群值...
SPSS超详细操作：分层回归(hierarchical multiple regression)1、问题与数据 最大携氧能力(maximal aerobic capacity, VO2max)是评价人体健康的关键指标，但因测量方法复杂，不易实现。某研究者拟通过一些方便、易得的指标建立受试者最大携氧能力的预测模型。目前，该研究者已知受试者的年龄和性别与最大携氧能力有关...
为了检验假设6,我们主要关注相关系数(correlationcoefficients)和容忍度/方差膨胀因子(Tolerance/VIF)两类指标。一般来说,如果自变量之间的相关系数大于0.7,或者容忍度小于0.1,方差膨胀因子大于10,我们就会怀疑模型存在多重共线性。 3.2.5 假设7:不存在显著的异常值 ...
1、spss多元线性回归分析教程(Tutorial of SPSS multiple linear regression analysis)1 linear regression analysisLinear regression analysisSPSS operation of linear regression analysisOperationThis section describes how to establish and establish a linear regression equation. Includes a unary linear regression and ...
跪求组内大神帮忙求解我用24份问卷的数据做预检验,出现了下面两个问题: 1. Corrected Iten-Total Correlation有负值,求问代表什么意思? 2. Squared Multiple Correlation值不显示,是空的,同样求问是什么意思? 赞 回应 转发 赞 收藏 只看楼主 你的回应 ...
SPSS softwareThe purpose of regression analysis is to explain the variation in a dependent variable on the basis of variation in one or more independent variables. If it is explained by more than one independent variable, it is known as multiple regression. Higher multiple correlation ensures ...
Published with written permission from SPSS Statistics, IBM Corporation. The "R" column represents the value of R, the multiple correlation coefficient. R can be considered to be one measure of the quality of the prediction of the dependent variable; in this case, VO2max. A value of 0.760,...
Exclude missing values; for correlations impute after quantification.Objects with missing values on the selected variable do not contribute to the analysis for this variable. If all variables are given passive treatment, then objects with missing values on all variables are treated as supplementary. ...