Question: fModel Summary Adjusted R Std. Error of Model R R Square Square the Estimate 714 509 504 5.2714 a. Predictors: (Constant), Jump_Height_cm Coefficients Standardized Unstandardized

 \fModel Summary Adjusted R Std. Error of Model R R SquareSquare the Estimate 714 509 504 5.2714 a. Predictors: (Constant), Jump_Height_cm Coefficients"Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 26.174

\fModel Summary Adjusted R Std. Error of Model R R Square Square the Estimate 714 509 504 5.2714 a. Predictors: (Constant), Jump_Height_cm Coefficients" Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 26.174 1.703 15.374 000 Jump_Height_cm 504 050 714 10.082 .000 a. Dependent Variable: VO2maxANOVA Coping with workplace stress score Sum of Squares df Mean Square F Sig. Between Groups 49.033 3 16.344 8.316 <.001 within groups total post hoc tests multiple comparisons dependent variable: coping with workplace stress score tukey hsd mean difference confidence interval physical activity level j std. error sig. lower bound upper sedentary low .2058 moderate .72557 high .74936 .70650 .092 .68121 .284 .6203 .123 .3069 .002 .38256 .952 the is significant at>

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