## 4 Discussion
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Type** & **Variables** & **B** & **SE** & **Wald** & **df** & \(p\) & **Exp(B)** \\ \hline \multirow{5}{*}{D} & Strength & 0.016 & 0.010 & 2.255 & 1 & 0.133 & 1.016 \\  & Muscle endurance & \(-\)0.009 & 0.011 & 0.743 & 1 & 0.389 & 0.991 \\  & Power & \(-\)0.005 & 0.012 & 0.204 & 1 & 0.651 & 0.995 \\  & Cardiorespiratory function & \(-\)0.003 & 0.010 & 0.071 & 1 & 0.789 & 0.997 \\  & Agility & 0.002 & 0.013 & 0.028 & 1 & 0.866 & 1.002 \\  & Flexibility & 0.017 & 0.011 & 2.531 & 1 & 0.112 & 1.017 \\  & Balance & \(-\)0.012 & 0.009 & 1.692 & 1 & 0.193 & 0.988 \\  & Coordination & 0.018 & 0.010 & 3.062 & 1 & 0.08 & 1.018 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: _Cont._In the type C case, according to the logistic regression analysis results, muscle endurance and cardiorespiratory function factors had statistically significant effects, and from the calculation of relative weights using the corresponding Wald values, the results were in the order of muscle endurance, cardiorespiratory function and power. If one looks at the type C events, most of them are long-distance sports, and the importance of endurance performance such as muscular endurance and cardiorespiratory endurance cannot be denied. On the other hand, if we look at the reason for the power factor weight, which is the third highest, [PERSON] and colleagues have reported that strength and power of the lower body are important factors for endurance performance, and in particular, it is reported that there is a correlation between aerobic capacity and muscular power [16]. In addition, in a study of biathlon athletes, it was reported that maximum oxygen intake has a high correlation with standing long jump and standing high jump performance, and considering that characteristics of biathlon running on inclined planes, anaerobic capacity is described as an important performance factor as well as aerobic capacity [17], so it is believed that power can also be an important factor. In the type D case, according to the logistic regression analysis results, none of the physical factors had a statistically significant effect, and there was also no statistically significant effect in the Wald values from the analysis results of fidelity of the logistic regression model. It would seem that physical factors fail to explain performance and it is inappropriate to apply information about the relative weights that are calculated on this basis. It can be inferred that this result was due to the broad classification criteria of the type D sports. In this study, similar sports types were grouped from a physiological standpoint and the criteria are classified in detail according to the degree of muscle endurance, power, cardiorespiratory function in the type A, B and C, but in the case of type D, the criteria for classification are agility, coordination, flexibility, balance etc., which are somewhat unclear. Therefore, for type D, it is deemed necessary to classify the sport type by applying more detailed classification criteria, and we look forward to future studies supplementing our results. This study was carried out to calculate the relative weights of sport event physical factors which are sorted from a physiological standpoint. Our research team is also aware that the classification of types according to the physiological standpoint in this study will be controversial for some sports experts and because of the special nature of each sport, clustering might seem meaningless. However, it is impossible to subdivide every sport using a consistent standard and apply it to the field. This is because for team sports, it needs to be subdivided for each position to apply, and for weight division of sports, it needs to be divided into each weight. Furthermore, one needs to calculate the physical importance of each individual according to performance management style, and apply the training program that suits that individual.