## 4 Results  
### Normality of Data and Pearson's Correlation Analysis  
In this study, we first examined whether the assumptions necessary for multiple regression analysis were satisfied. First, it was determined that the data used in this study had a normal distribution after confirming the normality of the residuals using the P-P chart. Second, by inspecting the scatterplot of the residuals, it was determined that the residuals had linearity and equal variance and that the assumptions for multivariate multiple regression analysis were met. Third, as shown in Table 4, skewness ranges from \(-0.91\) to \(-0.10\), and kurtosis ranges from \(-0.26\) to \(0.43\). The data analyzed in this study, which fall within the appropriate range, satisfy the normality assumption [46]. Moreover, as a result of [PERSON]'s correlation analysis, as shown in Table 4, the correlation coefficients between variables ranged from 0.763 to 0.877, indicating significant correlations.  
[PERSON] and [PERSON] [47] argued that \"a correlation coefficient between two latent constructs greater than 0.85 indicates a high correlation, indicating multicollinearity.\" According to [PERSON] [48], with a correlation of 0.90, \"it is difficult to measure the variables X and Y as separate components\" [49]. The correlation coefficient between the components, set as a result of the correlation analysis, is at the boundary with respect to multicollinearity. However, to eliminate the multicollinearity problem, additional verification was performed through the VIF, and the related results are shown in Tables 5-7.  
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & **Enjoyment** & **Usefulness** & **Ease of Use** & **Reliability** & **Perceived Values** & **Intention to Use Continuously** \\ \hline
2 & 0.777 ** & 1 & & & & & \\
3 & 0.809 ** & 0.863 ** & 1 & & & & \\
4 & 0.764 ** & 0.796 ** & 0.843 ** & 1 & & & \\
5 & 0.829 ** & 0.855 ** & 0.853 ** & 0.862 ** & 1 & & \\
6 & 0.763 ** & 0.859 ** & 0.836 ** & 0.778 ** & 0.877 ** & 1 & \\ M & 3.65 & 3.82 & 3.69 & 3.63 & 3.65 & 3.60 & \\ SD & 0.96 & 0.85 & 0.89 & 0.87 & 0.81 & 0.86 \\ Skewness & \(-0.29\) & \(-0.46\) & \(-0.37\) & \(-0.91\) & \(-0.15\) & \(-0.10\) \\ Kurtosis & \(-0.26\) & 0.43 & 0.10 & 0.05 & 0.43 & \(-0.20\) \\ \hline \hline \end{tabular} Note. ** \(p\) < 0.01.  
\end{table}
Table 4: Descriptive statistics and correlation analysis.  
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & & **B** & \(SE\) & \(\beta\) & \(t\) & \(p\) & \multicolumn{2}{c}{**Collinearity Statistics**} \\ \hline  & (constant) & 0.276 & 0.111 & & 2.490 & 0.014 & & \\  & Enjoyment & 0.211 & 0.044 & 0.250 & 4.811 & 0.000 & 0.307 & 3.252 \\ Perceived value & Usefulness & 0.281 & 0.058 & 0.294 & 4.862 & 0.000 & 0.228 & 4.388 \\  & Ease of use & 0.089 & 0.064 & 0.098 & 1.407 & 0.161 & 0.171 & 5.863 \\  & Reliability & 0.332 & 0.053 & 0.354 & 6.254 & 0.000 & 0.260 & 3.853 \\ \hline  & & & Adjusted \(R^{2}\) = 0.844, \(F\) = 254.635 *** & & & & \\ \hline \hline \end{tabular}
\end{table}
Table 5: Effect of TBSS characteristics on perceived value.  
Effect of TBSS Characteristics of Taekwondo Academies on Perceived Value and Intention to Use Continuously