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Stephen Dobson and Bill Gerrard

Unlike most major U.S. sport teams, it is common for professional soccer clubs around the world to trade players for cash. This article develops a model of the player-transfer market in soccer in which observed transfer fees are determined by player characteristics, selling-club characteristics, buying-club characteristics, and time effects. The model is based on data on 1,350 transfer fees in English professional soccer from June 1990 to August 1996. The estimated model is used to investigate the rate of inflation in transfer fees. In addition, the determination of transfer fees is considered within different segments of the transfer market. It is found that the determination of transfer fees differs markedly among segments.

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Tania Pereira, John Durocher and Jamie Burr

strength and power. Pearson correlation was used to determine if there was a relationship between HR inflation and riding intensity (%VO 2 max), thus indicating whether riding intensity influenced the level of inflation. Pearson correlation was also used with perception of effort and age, experience, and

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Kristin M. Mills, Scott Sadler, Karen Peterson and Lorrin Pang

aged 72 years or older was $19,440 (for those who sought medical care for their falls), which translates to approximately $28,430 in 2012, adjusting for general inflation. 3 About 20%–30% of elderly who fall will suffer a serious injury that can limit independence or increase the risk of untimely

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Devajyoti Deka

, p values, and variance inflation factors. The variance inflation factors estimates are provided to show that the models are not adversely affected by multicollinearity. Some statisticians suggest that all variance inflation factors estimates should be lower than 5 ( Studenmund, 2001 ), whereas

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Mark A. Tully, Ilona I. McMullan, Nicole E. Blackburn, Jason J. Wilson, Laura Coll-Planas, Manuela Deidda, Paolo Caserotti, Dietrich Rothenbacher and on behalf of the SITLESS group

, p  = .45; and employment status, β = 0.82, t (1278) = 1.17, p  = .24, were not found to be significant for social isolation. PA and Loneliness (DGLS-6) Using the DGLS-6 data, multicollinearity was examined using the variance inflation factor, and all variables had a variance inflation factor >10

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Seung-uk Ko, Gerald J. Jerome, Eleanor M. Simonsick, Stephanie Studenski and Luigi Ferrucci

(except speed itself). Statistical significance was defined using a p value less than .05. We checked for collinearity by identifying variance inflation factors above four ( Pan & Jackson, 2008 ). Statistical analyses were performed with SAS 9.2 statistical package (SAS Institute Inc., Cary, NC). Table

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Zenzi Huysmans and Damien Clement

inflation factor, which indicated that multicollinearity was not likely to be an issue (see Table 4; O’brien, 2007 ). Results Descriptive Data Predictor variables Table  1 displays complete descriptive data for the preseason study variables. Table 1 Descriptive Statistics   Total Sample Females Males

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Chevelle M.A. Davis, Tetine L. Sentell, Juliana Fernandes de Souza Barbosa, Alban Ylli, Carmen-Lucia Curcio and Catherine M. Pirkle

interrelationships between variables included in the final model with tolerance and variance inflation factor measures. Except for study site, all variables had tolerances and variance inflation factor measures close to 1, indicating the variables were orthogonal to each other (i.e., uncorrelated). For study site

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Catrine Tudor-Locke, John M. Schuna Jr, Damon L. Swift, Amber T. Dragg, Allison B. Davis, Corby K. Martin, William D. Johnson and Timothy S. Church

diastolic ≥90 mm Hg). FMD is percentage change in diameter before inflation (baseline diameter) to peak after deflation. a Compared black with white. b Formally and currently combined, Fisher exact test. c Kruskal–Wallis test. d Fisher exact test. e Log transformed. Table 2 Least Square Means of

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Jieling Chen, Emily Joy Nicklett, Yaping He and Vivian W.Q. Lou

regression analyses, all biophysical and psychosocial factors were included as independent variables to predict participation in vigorous, moderate, and light physical activity, separately. The variance inflation factor value for independent variables ranged from 1.04 to 2.93, suggesting a low level of