spss 一元线性回归对一组数据（两列）进行一元线性回归,得到如下结果,请问我能得出Y=A+BX么?可靠么?CorrelationsVAR00001 VAR00002VAR00001 Pearson Correlation 1 0.601Sig.(2-tailed) 0.000N 238 238VAR00002 Pearson Correlation 0.601 1Sig.(2-tailed) 0.000N 238 238**.Correlation is significant at the 0.01 level (2-tailed).Variables Entered/Removed(b)Model Variables Entered Variables Removed Method1 VAR00002(a) .Entera.All requested variables entered.b.Dependent Variable:VAR00001Model SummaryModel R R Square Adjusted R Square Std.Error of the Estimate1 0.601 0.361 0.358 0.0411108a.Predictors:(Constant),VAR00002ANOVA(b)Model Sum of Squares df Mean Square F Sig.1 Regression 0.225 1 0.225 133.104 0.000Residual 0.399 236 0.002Total 0.624 237a.Predictors:(Constant),VAR00002b.Dependent Variable:VAR00001Coefficients(a)Model Unstandardized Coefficients Standardized Coefficients t Sig.B Std.Error Beta1 (Constant) 0.001 0.003 0.328 0.743VAR00002 0.879 0.076 0.601 11.537 0.000a.Dependent Variable:VAR00001

spss 一元线性回归
对一组数据（两列）进行一元线性回归,得到如下结果,请问我能得出Y=A+BX么?可靠么?
Correlations
VAR00001 VAR00002
VAR00001 Pearson Correlation 1 0.601
Sig.(2-tailed) 0.000
N 238 238
VAR00002 Pearson Correlation 0.601 1
Sig.(2-tailed) 0.000
N 238 238
**.Correlation is significant at the 0.01 level (2-tailed).
Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 VAR00002(a) .Enter
a.All requested variables entered.
b.Dependent Variable:VAR00001
Model Summary
Model R R Square Adjusted R Square Std.Error of the Estimate
1 0.601 0.361 0.358 0.0411108
a.Predictors:(Constant),VAR00002
ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 0.225 1 0.225 133.104 0.000
Residual 0.399 236 0.002
Total 0.624 237
a.Predictors:(Constant),VAR00002
b.Dependent Variable:VAR00001
Coefficients(a)
Model Unstandardized Coefficients Standardized Coefficients t Sig.
B Std.Error Beta
1 (Constant) 0.001 0.003 0.328 0.743
VAR00002 0.879 0.076 0.601 11.537 0.000
a.Dependent Variable:VAR00001