Block | Predicting Variable | t | β | F change | R2 change | F | R2 |
---|
1 | Weight | 14.127 | .701*** | Â | 310.351*** | 0.878 |
Sex | −4.272 | −.231*** |  |
2 | Knee extension strenght | 2.012 | .124* | 4.048* | 0.005 | 215.756*** | 0.882 |
- Parameters in regression model *p < 0.05, **p < 0.01, ***P < 0.001
- Note: t- The t statistic is the coefficient divided by its standard error. β is the normalized coefficient, the highest its absolute value, the variable have more influence on the depended variable. The F value in regression is the result of a test where the null hypothesis is that all of the regression coefficients are equal to zero. R2 - coefficient of determination is a statistical measure of how well the regression predictions approximate the real data points