回归说明.docVIP

Variables Entered/Removed(a) Model Variables Entered Variables Removed Method 1 数学兴趣 . Stepwise (Criteria: Probability-of-F-to-enter = .050, Probability-of-F-to-remove = .100). 2 学习动机 . Stepwise (Criteria: Probability-of-F-to-enter = .050, Probability-of-F-to-remove = .100). 3 学习习惯 . Stepwise (Criteria: Probability-of-F-to-enter = .050, Probability-of-F-to-remove = .100). a Dependent Variable: 数学成绩 选取变量的顺序，最右边一栏进入与移除的标准，P值和F值。 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics R Square Change F Change df1 df2 Sig. F Change 1 .731(a) .534 .529 4.202 .534 112.159 1 98 .000 2 .773(b) .597 .589 3.925 .064 15.326 1 97 .000 3 .812(c) .659 .648 3.632 .061 17.296 1 96 .000 a Predictors: (Constant), 数学兴趣 b Predictors: (Constant), 数学兴趣, 学习动机 c Predictors: (Constant), 数学兴趣, 学习动机, 学习习惯 R为多元相关系数 R Square为多元决定系数 ANOVA(d) Model Sum of Squares df Mean Square F Sig. 1 Regression 1980.379 1 1980.379 112.159 .000(a) Residual 1730.371 98 17.657 Total 3710.750 99 2 Regression 2216.468 2 1108.234 71.940 .000(b) Residual 1494.282 97 15.405 Total 3710.750 99 3 Regression 2444.587 3 814.862 61.783 .000(c) Residual 1266.163 96 13.189 Total 3710.750 99 a Predictors: (Constant), 数学兴趣 b Predictors: (Constant), 数学兴趣, 学习动机 c Predictors: (Constant), 数学兴趣, 学习动机, 学习习惯 d Dependent Variable: 数学成绩 以数学成绩为因变量，变异数分析之F的显著性检验，p值都小于0.05，因此我们用的这个回归模型是有统计学意义的，可以继续看下面系数分别检验的结果。 Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 (Constant) 42.654 1.732 24.625 .000 数学兴趣 .761 .072 .731 10.591 .000 1.000 1.000 2 (Constant) 35.785 2.387 14.993 .000 数学兴趣 .685 .070 .658 9.809 .000 .923 1.083 学习动机 .218 .056 .263 3.915 .000 .923 1.083 3 (Constant) 32.245 2.367 13.624 .000 数学兴趣 .541 .073 .520 7.388 .000 .718 1.393 学习动机 .219 .052 .263