Table 4. Statistics of multiple regression analysis.
All Players | R | R2 | R2 adjust | F | Sig F. |
Model 1 | 0.932 | 0.869 | 0.858 | 85.640 | < 0.001 |
Beta | T | Sig T. | |||
MBT shot put | 0.932 | 9.254 | < 0.001 | ||
All Players | R | R2 | R2 adjust | F | Sig F. |
Model 2 | 0.962 | 0.925 | 0.913 | 74.861 | < 0.001 |
Beta | T | Sig T. | |||
MBT shot put | 0.733 | 7.170 | < 0.001 | ||
Forearm | 0.312 | 3.052 | 0.010 | ||
National level | R | R2 | R2 adjust | F | Sig F. |
Model 1 | 0.983 | 0.966 | .962 | 177.052 | < 0.001 |
Beta | T | Sig T. | |||
MBT shot put | 0.983 | 13.306 | < 0.001 | ||
National level | R | R2 | R2 adjust | F | Sig F. |
Model 2 | 0.997 | 0.994 | .990 | 356.955 | < 0.001 |
Beta | T | Sig T. | |||
MBT shot put | 0.734 | 10.661 | < 0.001 | ||
Height | 0.297 | 4.309 | 0.008 | ||
Professional level | R | R2 | R2 adjust | F | Sig F. |
Model 1 | 0.825 | 0.680 | 0.616 | 10.616 | 0.022 |
Beta | T | Sig T. | |||
MBT shot put | 0.825 | 3.258 | 0.22 |
MBT = medicine ball throw; R2 adjust = R2 adjusted to the number of the model´s predictors; Sig F = Significance value of the ANOVA test; Sig T = Significance value of the T test