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×öÁËÒ»¸öÊÔÑ飬ÓÃSPSSÏßÐԻع飬½á¹ûÈçÏ¡£ÇëÎʽá¹ûÊÇ·ñÓÐÏÔÖøÐÔ£¬ÌرðÊÇ×îºóÁÑ·ì¼ä¾àµÃP=0.215,²»ÖªºÎÒ⣿£¿ÅθßÊÖ½â´ð£¬Ð»Ð»£¡£¡ 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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