Table 3: Multiple regression norms for the prediction of pulmonary function measurements in the studied population.

 Pulmonary function measurement Group Regression equation R R2 SEE (l) VC (l) Sedentary Basketball Volleyball VC = 0.056H - 0.022W - 3.938 VC = 0.028H - 0.002W - 0.372 VC = 0.038H + 0.006W - 2.985 0.81 0.86 0.85 0.65 0.74 0.72 0.14 0.09 0.21 FVC (l) Sedentary Basketball Volleyball FVC = 0.005H + 0.039W + 0.854 FVC = 0.029H - 0.002W - 0.488 FVC =0.015H + 0.007W + 1.468 0.88 0.89 0.77 0.78 0.78 0.59 0.12 0.08 0.14 FEV1 (l) Sedentary Volleyball FEV1 = - 0.011H + 0.048W + 2.212 FEV1 = 0.000217H + 0.005W + 3.530 0.82 0.92 0.68 0.85 0.14 0.02 FEF25% - 75% (l.min-1) Basketball Volleyball FEF25% - 75% = 1.957H + 0.582W - 175.608 FEF25% - 75% = 1.973H - 0.430W - 126.970 0.81 0.83 0.66 0.70 11.54 7.89 FEF25% - 75% (l.min-1) Basketball Volleyball FEF25% - 75% = 1.778H + 0.513W - 239.518 FEF25% - 75% = 0.872H + 0.814W - 84.261 0.75 0.83 0.56 0.69 12.82 8.40 PEFR (l.min-1) Basketball Volleyball PEFR = 2.447H + 0.729W + 184.655 PEFR = 3.126H - 1.163W + 196.083 0.88 0.89 0.77 0.78 10.85 8.27

H = Body height, W= Body weight SEE = standard error of estimate. All values of multiple correlation coefficient (R) are significant at the level p < 0.001.