请教多元线性回归结果如何分析?Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients t Sig.B Std.Error Beta 1 (Constant) .433 .100 4.331 .000V1 -.012 .009 -.151 -1.342 .185V2 -.002 .003 -.087 -.768 .446V3 .001 .004 .
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请教多元线性回归结果如何分析?Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients t Sig.B Std.Error Beta 1 (Constant) .433 .100 4.331 .000V1 -.012 .009 -.151 -1.342 .185V2 -.002 .003 -.087 -.768 .446V3 .001 .004 .
请教多元线性回归结果如何分析?
Coefficients(a)
Model Unstandardized Coefficients Standardized Coefficients t Sig.
B Std.Error Beta
1 (Constant) .433 .100 4.331 .000
V1 -.012 .009 -.151 -1.342 .185
V2 -.002 .003 -.087 -.768 .446
V3 .001 .004 .015 .130 .897
V4 .006 .002 .382 3.123 .003
V5 .001 .002 .097 .325 .746
V6 .000 .000 .279 .944 .349
V7 .000 .015 -.004 -.032 .974
a Dependent Variable:Y
ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression .166 7 .024 5.089 .000(a)
Residual .238 51 .005
Total .404 58
a Predictors:(Constant),V7,V4,V1,V2,V3,V6,V5
b Dependent Variable:Y
请教多元线性回归结果如何分析?Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients t Sig.B Std.Error Beta 1 (Constant) .433 .100 4.331 .000V1 -.012 .009 -.151 -1.342 .185V2 -.002 .003 -.087 -.768 .446V3 .001 .004 .
分析差异显著性
既然能回归了说明和哪些因素是显著性差异的
看beta那列数据 绝对值越大影响越大 正负号是影响的方向 也就是正相关还是负相关