这是用SPSS做多元线性回归的结果,论文里面急用,Variables Entered/RemovedModel\x05Variables Entered\x05Variables Removed\x05Method1\x05X5,X3,X2,X4,X1a\x05.\x05Entera.All requested variables entered.Model SummaryModel\x05R\x05R Square\x

这是用SPSS做多元线性回归的结果,论文里面急用,Variables Entered/RemovedModel\x05Variables Entered\x05Variables Removed\x05Method1\x05X5,X3,X2,X4,X1a\x05.\x05Entera.All requested variables entered.Model SummaryModel\x05R\x05R Square\x
这是用SPSS做多元线性回归的结果,论文里面急用,
Variables Entered/Removed
Model\x05Variables Entered\x05Variables Removed\x05Method
1\x05X5,X3,X2,X4,X1a\x05.\x05Enter
a.All requested variables entered.
Model Summary
Model\x05R\x05R Square\x05Adjusted R Square\x05Std.Error of the Estimate
1\x05.483a\x05.233\x05.146\x055:51:08.561
a.Predictors:(Constant),X5,X3,X2,X4,X1
ANOVAb
Model\x05Sum of Squares\x05df\x05Mean Square\x05F\x05Sig.
1\x05Regression\x055.941E9\x055\x051.188E9\x052.677\x05.034a
\x05Residual\x051.953E10\x0544\x054.439E8\x05\x05
\x05Total\x052.547E10\x0549\x05\x05\x05
a.Predictors:(Constant),X5,X3,X2,X4,X1
b.Dependent Variable:Y
Coefficientsa
Model\x05Unstandardized Coefficients\x05Standardized Coefficients\x05
\x05B\x05Std.Error\x05Beta\x05t\x05Sig.
1\x05(Constant)\x0526790.434\x058220.233\x05\x053.259\x05.002
\x05X1\x05-1099.991\x056756.455\x05-.024\x05-.163\x05.871
\x05X2\x052.011E-7\x05.000\x05.277\x051.989\x05.053
\x05X3\x05-.250\x05.467\x05-.074\x05-.535\x05.595
\x05X4\x05.052\x05.046\x05.163\x051.124\x05.267
\x05X5\x0512731.208\x056453.662\x05.281\x051.973\x05.055
a.Dependent Variable:Y

这是用SPSS做多元线性回归的结果,论文里面急用,Variables Entered/RemovedModel\x05Variables Entered\x05Variables Removed\x05Method1\x05X5,X3,X2,X4,X1a\x05.\x05Entera.All requested variables entered.Model SummaryModel\x05R\x05R Square\x
第一个图显示你是用进入法做的回归分析,全部因变量都进入方程.
第二个图只需要看你的r的平方,你的图中显示r方才0.146,对变异的解释只有14.6%,太低了.
第三个图是方差分析,sig显著性为0.034,表示因变量和自变量完全无线性关系的概率很低.
第四个图是回归系数及其显著性分析.Standardized Coefficients（标准回归系数值） 和sig才值得看.你的图表示只有X2才能归入回归方程,其他系数的sig绝对值都大于0.05,无法归入方程.
具体我也吧我也不太懂,只不过刚交上论文,刚学到的.希望对你有用.