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Variables Entered/Removed(b,c)

Model        Variables Entered        Variables Removed        Method
1        ÁÑ·ì¼ä¾à, ÁÑ·ì¿í¶È(a)        .        Enter
a  All requested variables entered.
b  Dependent Variable: ËðÉ˳¤¶È
c  Linear Regression through the Origin

        Model Summary

Model        R        R Square(a)        Adjusted R Square        Std. Error of the Estimate
1        .984(b)        .969        .960        7.45808
a  For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.
b  Predictors: ÁÑ·ì¼ä¾à, ÁÑ·ì¿í¶È

        ANOVA(c,d)

Model                 Sum of Squares        df        Mean Square        F        Sig.
1        Regression        12041.108        2        6020.554        108.239        .000(a)
        Residual        389.360        7        55.623                  
        Total        12430.469(b)        9                           
a  Predictors: ÁÑ·ì¼ä¾à, ÁÑ·ì¿í¶È
b  This total sum of squares is not corrected for the constant because the constant is zero for regression through the origin.
c  Dependent Variable: ËðÉ˳¤¶È
d  Linear Regression through the Origin

        Coefficients(a,b)

Model                 Unstandardized Coefficients        Standardized Coefficients        t        Sig.
                 B        Std. Error        Beta                  
1        ÁÑ·ì¿í¶È        135.282        26.988        .786        5.013        .002
        ÁÑ·ì¼ä¾à        .126        .093        .214        1.364        .215
a  Dependent Variable: ËðÉ˳¤¶È
b  Linear Regression through the Origin

[ Last edited by mainpro on 2006-9-21 at 23:29 ]
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