| Carol E. Osborn - 2000 - Broj stranica: 352
...Descriptive Statistics TOTCHG LOS Mean 13454.18 5.0882 Std. Deviation 7305.2037 2.7233 N 34 34 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .880a .775 a Predictors: (Constant), LOS ANOVAa .768 3522.1820 Model Sum of Mean Squares df Square... | |
| Gotthard Weiss - 2000 - Broj stranica: 310
...requested variables entered b Dependent Variable: Durchschnittlicher Konkursabstand Model Summary(b) Model R R Square Adjusted R Square Std. Error of the Estimate DurbinWatson 1 ,915(a) ,836 ,792 3,047500 2,075 a Predictors: (Constant), Wachstumsrate, Volatilität,... | |
| Alistair W Kerr, Howard K Hall, Stephen A Kozub - 2002 - Broj stranica: 252
...Example 11.1 Linear Regression Output Using SPSS on in Table 11.1 Data Set Table 11.5 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .700 .490 .405 .92 LINEAR REGRESSION Table 1 1 .5 shows that: • The correlation coefficient between... | |
| Sharon Lawner Weinberg, Sarah Knapp Abramowitz - 2002 - Broj stranica: 756
...PRODUCT. Coefficients'1 Dependent Variable: SYSTOLC2. Exercises 15.8-15.11 relate to the NELS data set 522 Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics 1 2 .735a .798b .541 .638 .490 .574 6.99 6.39 R Square Change F Change dfl df2 Sig.... | |
| D. A. De Vaus - 2002 - Broj stranica: 436
...hypothesis will be rejected, and we will assume that the R: reflects a real pattern in the population. Model R R Square Adjusted R Square Std. Error of the Estimate R Square Change F Change ,11l df2 Sig.F Change 1* f y 0-47 0.53 0.62 0.22 0.28 0.38 0.22 0.27 0.38... | |
| Ton J. M. Cleophas, Aeilko H. Zwinderman, Toine F. Cleophas - 2002 - Broj stranica: 234
...the regression model, after the second no less than 7 1.9% is explained by it. The addition of age Model R R Square Adjusted R Square Std. Error of the Estimate I • 848 a .719 .701 5.4498 Model Sum of Squares df Mean Square F Sig. I Regression 2429.764 2 1214.882... | |
| M. V. Suryaprakash - 2004 - Broj stranica: 368
...finish, multiple linear regression equation is obtained as below. SF = 1. 029+0. 01024*HT+1.845*TA (2) Model R R Square Adjusted R Square Std. Error of the Estimate 1 .925 .855 .805 .4264 2 .925 .855 .812 .4188 3 .924 .854 .818 .4121 4 .922 .850 .819 .4111 5 .919 .845... | |
| 邵晓顺 - Broj stranica: 358
...Predictors: (Constant), b. Dependent Variable: Model Variables Entered Variables Removed Method 1 ¥ Enter Model R R Square Adjusted R Square Std. Error of the Estimate 1 0.928 0.862 0.853 13865.8335 Model Sum of Squares df Mean Square F Sig. 1 Regression 17982289186.039... | |
| Denise F. Polit, Cheryl Tatano Beck - 2004 - Broj stranica: 800
...(Criteria: Probability -of-F-to-en Mother's ter <= age .050. Probability -of-F-to-re move >= .100) Model R R Square Adjusted R Square Std. Error of the Estimate 1 .594a .353 .330 8.9702 Model Sum of Squares df Mean Square F Sig. 1 Regression Residual Total 1227.283... | |
| Joseph J. Leon, Wayne C. Brown, Libby O. Ruch - 2005 - Broj stranica: 162
...other variables need to be studied and added to this model to better understand customer satisfaction. Model R R Square Adjusted R Square Std. Error of the Estimate 1 .396a .157 .154 1.048 Model i Regression Residual Total Sum of Squares 170.451 918.306 1088.757 df... | |
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