## 3 Results
\begin{table}
\begin{tabular}{l c c c c} \hline \hline  & \multicolumn{3}{c}{**505 test**} \\ \hline  & **Professional** & **Amateur** & **U18 DH** & **U18 LN** \\ \hline Constant & 3.550 & 2.245 & 3.379 & 3.149 \\ F\({}_{0}\) (N\(\cdot\)kg\({}^{-1}\)) & & 0.29 (1.845) & \(-\)0.027 (\(-\)0.253) & \\ P\({}_{\rm max}\) (W\(\cdot\)kg\({}^{-1}\)) & & \(-\)0.127 (\(-\)1.877) & & \\ V\({}_{0}\) (m\(\cdot\)s\({}^{-1}\)) & \(-\)0.148 (\(-\)0.660) & & \(-\)0.140 (\(-\)0.807) & \(-\)0.084 (\(-\)0.448) \\ Adj. R\({}^{2}\) (SEE) & 0.405 (0.05 s) & 0.385 (0.07 s) & 0.631 (0.04 s) & 0.204 (0.06 s) \\ ANOVA \(p\) value & 0.02 & 0.046 & 0.000 & 0.016 \\ \hline  & \multicolumn{3}{c}{**M505 test**} \\ \hline  & **Professional** & **Amateur** & **U18 DH** & **U18 LN** \\ \hline Constant & 3.511 & 3.014 & 3.131 & 3.230 \\ F\({}_{0}\) (N\(\cdot\)kg\({}^{-1}\)) & & \(-\)0.078 (\(-\)0.693) & & \(-\)0.098 (\(-\)0.631) \\ P\({}_{\rm max}\) (W\(\cdot\)kg\({}^{-1}\)) & \(-\)0.065 (\(-\)0.709) & & \(-\)0.40 (\(-\)0.656) & \\ V\({}_{0}\) (m\(\cdot\)s\({}^{-1}\)) & & & & \\ Adj. R\({}^{2}\) (SEE) & 0.476 (0.06 s) & 0.429 (0.05 s) & 0.401 (0.08 s) & 0.370 (0.06 s) \\ ANOVA \(p\) value & 0.000 & 0.012 & 0.001 & 0.001 \\ \hline  & \multicolumn{3}{c}{**505\_CODD**} \\ \hline  & **Professional** & **Amateur** & **U18 DH** & **U18 LN** \\ \hline Constant & 1.325 & \(-\)0.319 & 1.219 & 0.739 \\ F\({}_{0}\) (N\(\cdot\)kg\({}^{-1}\)) & & 0.347 (1.8) & & \\ P\({}_{\rm max}\) (W\(\cdot\)kg\({}^{-1}\)) & 0.028 (0.4) & \(-\)0.101 (\(-\)1.219) & 0.042 (0.761) & 0.042 (0.737) \\ V\({}_{0}\) (m\(\cdot\)s\({}^{-1}\)) & \(-\)0.143 (\(-\)0.622) & & \(-\)0.15 (\(-\)0.703) & \(-\)0.085 (\(-\)0.46) \\ Adj. R\({}^{2}\) (SEE) & 0.312 (0.06 s) & 0.574 (0.07 s) & 0.698 (0.05 s) & 0.292 (0.06 s) \\ ANOVA \(p\) value & 0.016 & 0.000 & 0.000 & 0.010 \\ \hline \hline \end{tabular} Data are multiple linear regression model raw-score constants (raw-score \(\delta\) standardized coefficients). Predicted variables are: 505 test, M505 test and 505_CODD. Adj. R\({}^{2}\) = adjusted Pearson’s coefficient of determination; SEE = standard error of estimation; coefficient significance (\(p<0.05\)); F\({}_{0}\) = maximum horizontal force production; P\({}_{\rm max}\) = maximum power output; V\({}_{0}\) = maximum velocity application.  
\end{table} 
Table 2: Parameters of the explanatory multiple linear regression models generated with the mechanical variables of Hzt FV profile (F\({}_{0}\), V\({}_{0}\), P\({}_{\rm max}\)) and performance test (M505 test, 505 test) as predicted variables. Figure 2: Correlations between CODD (M505_CODD and 505_CODD) and the mechanical variables of Hzt FV profile (F\({}_{0}\), V\({}_{0}\) and P\({}_{\rm max}\)). * Correlation is significant (\(p<0.05\)). ** Correlation is significant (\(p<0.01\)). Confidence interval at 90%. F\({}_{0}\) = maximum horizontal force production; P\({}_{\rm max}\) = maximum power output; V\({}_{0}\) = maximum velocity application; N = newtons; W = watts; m = meters; s = seconds; kg = kilograms; M505_CODD = change of direction deficit in M505 test; 505_CODD = change of direction deficit in 505 test. It should be noted that no predictive models were developed concerning the M505_CODD variable due to the non-existence of any significant relationships with the parameters of the Hzt FV profile.