下面是分析出的数据,我是属于SPSS盲,请将的通俗一下,CorrelationsY X1 X2 X3 X5Y Pearson Correlation 1 .236(**) .416(**) -.008 .178(*)Sig.(1-tailed) .002 .000 .460 .015N 147 147 147 147 147X1 Pearson Correlation .236(**) 1 .200(**) .0
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下面是分析出的数据,我是属于SPSS盲,请将的通俗一下,CorrelationsY X1 X2 X3 X5Y Pearson Correlation 1 .236(**) .416(**) -.008 .178(*)Sig.(1-tailed) .002 .000 .460 .015N 147 147 147 147 147X1 Pearson Correlation .236(**) 1 .200(**) .0
下面是分析出的数据,我是属于SPSS盲,请将的通俗一下,
Correlations
Y X1 X2 X3 X5
Y Pearson Correlation 1 .236(**) .416(**) -.008 .178(*)
Sig.(1-tailed) .002 .000 .460 .015
N 147 147 147 147 147
X1 Pearson Correlation .236(**) 1 .200(**) .048 .069
Sig.(1-tailed) .002 .008 .284 .202
N 147 147 147 147 147
X2 Pearson Correlation .416(**) .200(**) 1 .080 -.064
Sig.(1-tailed) .000 .008 .167 .219
N 147 147 147 147 147
X3 Pearson Correlation -.008 .048 .080 1 .032
Sig.(1-tailed) .460 .284 .167 .351
N 147 147 147 147 147
X5 Pearson Correlation .178(*) .069 -.064 .032 1
Sig.(1-tailed) .015 .202 .219 .351
N 147 147 147 147 147
** Correlation is significant at the 0.01 level (1-tailed).
* Correlation is significant at the 0.05 level (1-tailed).
Correlations
Y X1 X2 X3 X5
Y Pearson Correlation 1 0.236 0.416 -0.008 0.178
Sig.(1-tailed) 0.002 0.000 0.460 0.015
N 147 147 147 147 147
X1 Pearson Correlation 0.236 1 0.200 0.048 0.069
Sig.(1-tailed) 0.002 0.008 0.284 0.202
N 147 147 147 147 147
X2 Pearson Correlation 0.416 0.200 1 0.080 -0.064
Sig.(1-tailed) 0.000 0.008 0.167 0.219
N 147 147 147 147 147
X3 Pearson Correlation -0.008 0.048 0.080 1 0.032
Sig.(1-tailed) 0.460 0.284 0.167 0.351
N 147 147 147 147 147
X5 Pearson Correlation 0.178 0.069 -0.064 0.032 1
Sig.(1-tailed) 0.015 0.202 0.219 0.351
N 147 147 147 147 147
**.Correlation is significant at the 0.01 level (1-tailed).
*.Correlation is significant at the 0.05 level (1-tailed).
下面是分析出的数据,我是属于SPSS盲,请将的通俗一下,CorrelationsY X1 X2 X3 X5Y Pearson Correlation 1 .236(**) .416(**) -.008 .178(*)Sig.(1-tailed) .002 .000 .460 .015N 147 147 147 147 147X1 Pearson Correlation .236(**) 1 .200(**) .0
你做的是相关分析吧?矩阵交叉处是代表的某两个变量的相关系数,sig（1-tailed）是单边的显著性检验,越小越好,带星星的都属于好的.
另外,你用的是pearson相关分析