# Evaluating Agility in Pre-Adolescent Basketball: A Comparative Analysis of CODAT, IAT, and RAT
## 4 Results
Similarly, the Predicted CODAT (right side) and Predicted CODAT (left side) demonstrate comparable levels of variability (CV% of 10.57% and 11.33%, respectively), indicating their effectiveness in capturing consistent performance metrics in agility assessment. The Unpredicted CODAT, with a slightly higher CV% of 13.97%, still falls within an acceptable range, though it suggests a marginally increased variability that could be attributed to the test's unpredictable nature, potentially introducing a higher level of challenge for the participants. The ICCs for the agility tests demonstrate moderate to high reliability (ICC range: 0.75 to 0.85), indicating consistent measurement across subjects. Specifically, the RAT and Predicted CODAT (right side) exhibit the highest reliability (ICC = 0.85), affirming their robustness in assessing agility in pre-adolescent basketball players. The slightly lower ICC for the Unpredicted CODAT (0.75) suggests the variability inherent to unpredicted scenarios, yet it confirms its reliability for measuring agility under such conditions. These ICC values, alongside corresponding CV% figures, validate the agility tests' efficacy and consistency in this study's context. As shown in Table 2, the regression analysis conducted aimed to determine the predictive power of various agility tests, including IAT, RAT, Predicted CODAT (left side), and Unpredicted CODAT, on the Predicted CODAT (right side) scores of basketball players. The analysis revealed that the model explains a substantial portion of the variance in Predicted CODAT (right side) scores, as indicated by an R-squared value of 0.937. This high level of explained variance suggests that the model is highly effective in predicting the outcome variable based on the independent variables included. The coefficients indicate the degree of impact each independent variable has on the Predicted CODAT (right side) scores. Specifically, the IAT (coefficient = 0.1425, \(p\) < 0.001), RAT (coefficient = 0.4741, \(p\) = 0.012), and Predicted CODAT (left side) (coefficient = 0.5352, \(p\) < 0.001) were found to be statistically significant predictors of Predicted CODAT (right side) scores. These results suggest that improvements in these agility test scores are associated with better performance in the Predicted CODAT (right side), highlighting their relevance in assessing agility in basketball players. Conversely, the Unpredicted CODAT did not emerge as a significant predictor (coefficient = \(-\)0.0046, \(p\) = 0.936), indicating that its scores do not significantly influence the Predicted CODAT (right side) scores within the context of this model. This finding may suggest that the unpredictability component measured by the Unpredicted CODAT does not significantly affect the specific agility aspect captured by the Predicted CODAT (right side). \begin{table}
\begin{tabular}{c c c c c c} \hline
**Variable** & **Coefficient** & **Std. Error** & **t** & \(p\) \(>\) 1t1 & **95\% Confidence Interval** \\ \hline Const & 0.4925 & 0.2792 & 1764.000 & 0.082546 & (\(-\)0.0653. 1.0503) \\ IAT & 0.1425 & 0.0278 & 5118.000 & 0.000003 & (0.0869. 0.1981) \\ RAT & 0.4741 & 0.1840 & 2577.000 & 0.012279 & (0.1066. 0.8416) \\ Predicted CODAT & 0.5352 & 0.1052 & 5086.000 & 0.000003 & (0.3250. 0.7454) \\ Unpredicted CODAT & \(-\)0.0046 & 0.0570 & \(-\)0.081 & 0.935695 & (\(-\)0.1185. 0.1093) \\ \hline \end{tabular} Note: ‘t’ represents the t-statistic from the regression analysis, indicating the number of standard deviations a coefficient is away from zero. ’\(p>\) 1t1’ denotes the \(p\)-value associated with this t-statistic, reflecting the probability of observing such an extreme value under the null hypothesis.  
\end{table} 
Table 2: Multiple Regression Analysis Summary.