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" Model R R Square Adjusted R Square Std. Error of the Estimate 1 .967a .935 .929 .9315 Model Sum of Squares df Mean Square F Sig. "
OECD Territorial Reviews Competitive Cities in the Global Economy - Stranica 275
napisao/la OECD - 2006 - Broj stranica: 450
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Telephone Survey Methods and Practices

Joseph J. Leon, Wayne C. Brown, Libby O. Ruch - 2005 - Broj stranica: 153
...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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Social Statistics for a Diverse Society

Chava Frankfort-Nachmias, Anna Leon-Guerrero - 2006 - Broj stranica: 586
...models for men and women. What can you conclude about the relationship between CLASS and AGEKDBRN? Model R R Square Adjusted R Square Std. Error of the Estimate 1 .0288 .001 -.002 13.220 Model Sum of Squares df Mean Square F Sig. 1 Regression Residual Total 126523.5...
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Enhancing Mobility in Later Life: Personal Coping, Environmental Resources ...

Heidrun Mollenkopf, F. Marcellini, I. Ruoppila - 2005 - Broj stranica: 325
...activity was associated with the youngest age group and a high level of outdoor activity, with the Model R R Square Adjusted R Square Std. Error of the Estimate Physical activity (1=hardly any; 4=several times a week) .506 .256 .256 2.739 + income (1=low;3=high)...
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OECD Territorial Reviews Competitive Cities in the Global Economy

OECD - 2006 - Broj stranica: 450
...(4.044)2 (3.395)2 (2.666)2 (2.79S)2 (2.705)2 0.242 0.536 0.531 0.529 (2.577)1 (4.78S)2 (4.771 )2 (4.81 9)2 Model R R square Adjusted R square Std. error of the estimate 1 .0961 .009 -.014 .0339334 Unstandardised coefficients Standardised coefficients B Std. Error Beta 1 (Constant) gdp95rea...
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Community Action for Collective Goods: An Interdisciplina[r]y Approach to ...

Annamária Orbán - 2006 - Broj stranica: 281
...1 -0.451 1.000 N CH meeting participation rate Number of flats 0.0 0.000 0.000 0.0 561 561 561 561 Model R R Square Adjusted R Square Std. Error of the Estimate 1 0.451" 0.203 0.202 18.32 Model Sum of Squares df Mean Square F Sig. 1 Regression 47842.876 1 47842.876...
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National Innovation, Indicators and Policy

L. Earl - 2006 - Broj stranica: 264
...will have a propensity to patent comparable to that of firms operating in other hightech industries. Model R R Square Adjusted R Square Std. error of the estimate 1 0.914* 0.835 0.834 200.417 patents represent a major barrier to entry into the larger software products...
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Statistics Applied to Clinical Trials

Ton J. Cleophas, A.H. Zwinderman, Toine F. Cleophas, Eugene P. Cleophas - 2006 - Broj stranica: 366
...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 1 .848a .719 .701 5.4498 Model i Regression Residual Sum of Squares 2429.764 950.407 3380.171 df 32 34...
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結構方程模式: SIMPLIS的應用

吳明隆 - 2006 - Broj stranica: 506
...- ъш Д.296 « .327 « .393 4.35 1 (р<.05) ' 4.423 ( р<05 ) «4.854 8-12 .798 ®О 1 О о- 1z Model R R Square Adjusted R Square Std. Error of the Estimate 1 .805(a) .648 .637 11.641 Observed Variables: Raw Data from tile d:/path/sati.dat Sample Size= 100 Paths:...
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Applied Multivariate Research: Design and Interpretation

Lawrence S. Meyers, Glenn Gamst, A.J. Guarino - 2006 - Broj stranica: 722
...Pretest. b. Predictors: (Constant), GAP Pretest, CSQ-8 Composite Sum. c. Dependent Variable: GAP Posttest. Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics 1 2 .753a .784" .568 .615 .559 .600 8.52212 8.12134 R Square Change F Change df1...
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Assessing the Comparative Advantage of Wheat Produced in Albania

Luce Agraja - 2006 - Broj stranica: 138
...Variable: L_YIELD. Model Variables Entered Variables Removed Method 1 L GDP G, L CIFLAG, L UREAa • Enter Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .876a .767 .651 .3372 1.453 Model Sum of Squares df Mean Square F Sig. 1 Regression...
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