## 3 Results
Among the predictors, height was found to be a significant predictor (\(\beta\) = 0.401, \(p\) = 0.033), whereas BMI was not statistically significant (\(\beta\) = 0.138, \(p\) = 0.444). The regression analysis for the agility variable did not yield statistically significant results (F(2, 26) = 1.005, \(p\) = 0.380). The model's explanatory power was R\({}^{2}\) = 0.072, with an adjusted R\({}^{2}\) of 0.000. Neither height (\(\beta\) = 0.270, \(p\) = 0.169) nor BMI (\(\beta\) = -0.017, \(p\) = 0.931) emerged as significant predictors. Similarly, the regression model for the jumping variable was also non-significant (F(2, 26) = 0.544, \(p\) = 0.587), with an R\({}^{2}\) of 0.040 and an adjusted R\({}^{2}\) of -0.034. Neither height (\(\beta\) = 0.077, \(p\) = 0.695) nor BMI (\(\beta\) = 0.175, \(p\) = 0.377) significantly predicted jumping performance. As presented in Table 4, the variable Body Weight (kg) was excluded from all regression models. This decision was based on the presence of severe multicollinearity, indicated by an extremely low tolerance value (1.16 \(\times\) 10\({}^{-6}\)) and an excessively high Variance Inflation Factor (VIF = 865,268.665). Additionally, Body Weight (kg) was not a statistically \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Dependent Variable** & **Predictor** & \(\beta\) **(Beta)** & **t** & \(p\) & **Partial r** & **Tolerance** & **VIF** \\ \hline Thirty-Meter & Body Weight (kg) & \(-192.09\) & \(-1.18\) & 0.248 & \(-0.230\) & \(1.16\times 10^{-6}\) & 865,268.665 \\ \hline Agility (s) & Body Weight (kg) & \(-222.22\) & \(-1.28\) & 0.212 & \(-0.248\) & \(1.16\times 10^{-6}\) & 865,268.665 \\ \hline Vertical Jump (cm) & Body Weight (kg) & \(-327.94\) & \(-1.93\) & 0.065 & \(-0.360\) & \(1.16\times 10^{-6}\) & 865,268.665 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Predictor excluded from the regression models: Body weight (kg). \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Dependent Variable** & **Predictor** & **B** & **Std. Error** & \(\beta\) **(Beta)** & **t** & \(p\) & **95\% CI** & **95\% CI** \\ \hline \multirow{4}{*}{Thirty-Meter (s)} & Constant & \(-0.524\) & 0.481 & – & \(-1.09\) & 0.286 & \(-1.51\) & 0.46 \\ \cline{2-9}  & \begin{tabular}{c} Height \\ (cm) \\ \end{tabular} & \begin{tabular}{c} 0.483 \\ (\(\log\)/m\({}^{2}\)) \\ \end{tabular} & 0.050 & 0.065 & 0.138 & 0.78 & 0.444 & \(-0.08\) & 0.18 \\ \hline \multirow{4}{*}{Agility (s)} & Constant & 0.220 & 0.552 & – & 0.40 & 0.694 & \(-0.92\) & 1.36 \\ \cline{2-9}  & \begin{tabular}{c} Height \\ (cm) \\ \end{tabular} & 0.347 & 0.246 & 0.270 & 1.41 & 0.169 & \(-0.16\) & 0.85 \\ \cline{2-9}  & \begin{tabular}{c} BMI \\ (kg/m\({}^{2}\)) \\ \end{tabular} & \(-0.006\) & 0.074 & \(-0.017\) & \(-0.09\) & 0.931 & \(-0.16\) & 0.15 \\ \hline \multirow{4}{*}{Vertical Jump (cm)} & Constant & 0.003 & 2.686 & – & 0.001 & 0.999 & \(-5.52\) & 5.52 \\ \cline{2-9}  & \
\begin{tabular}{c} Height \\ (cm) \\ \end{tabular} & 0.474 & 1.196 & 0.077 & 0.40 & 0.695 & \(-1.98\) & 2.93 \\ \cline{1-1} \cline{2-9}  &
\begin{tabular}{c} BMI \\ (kg/m\({}^{2}\)) \\ \end{tabular} & 0.326 & 0.362 & 0.175 & 0.90 & 0.377 & \(-0.42\) & 1.07 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Results of regression analysis on log-transformed performance indicators. significant predictor in any of the models (low t-values, \(p>0.05\)). Therefore, to maintain the statistical validity and interpretability of the models, this variable was excluded from the final analyses.