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 .](/uploads/image/z/10849249-1-9.jpg?t=%E8%AF%B7%E6%95%99%E5%A4%9A%E5%85%83%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E7%BB%93%E6%9E%9C%E5%A6%82%E4%BD%95%E5%88%86%E6%9E%90%3FCoefficients%28a%29+Model+Unstandardized+Coefficients+Standardized+Coefficients+t+Sig.B+Std.Error+Beta+1+%28Constant%29+.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 .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