Table 3.
Covariates | Bivariate | Multivariate | ||||
---|---|---|---|---|---|---|
Correlation4 | Explained variance5 | Partial correlation | Explained variance6 | Regression coefficient | Coefficient's significance | |
Constant | - | - | - | - | -2.637 | 0.066 |
Sex1 | 0.597 | 35.7% | 0.492 | 24.2% | 2.138 | <0.001 |
Age1 | -0.389 | 25.1% | 0.187 | 3.5% | 0.079 | <0.001 |
Age2 | -0.441 | - | -0.237 | 5.6% | -0.001 | <0.001 |
Height1 | 0.614 | 37.7% | 0.146 | 2.1% | 0.034 | <0.001 |
Weight1 | 0.482 | 23.8% | 0.008 | <0.1% | 0.007 | 0.796 |
Weight2 | 0.470 | - | 0.024 | 0.1% | 0.001 | 0.456 |
Occupation1 | 0.354 | 22.9% | 0.255 | 6.5% | 2.641 | <0.001 |
Occupation2 | 0.287 | - | -0.230 | 5.3% | -1.282 | <0.001 |
Occupation3 | 0.265 | - | 0.203 | 4.1% | 0.195 | <0.001 |
1 linear: coefficient times variable, 2 quadratic: coefficient times variable2, 3 cubic: coefficient times variable3, 4 Correlation between pinch strength and the covariates, e.g. pinch strength with age (linear relationship), 5 Explained variance of the optimal bivariate model (maximal explained variance) of pinch strength with the covariates, e.g. pinch strength = a0 + a1age + a2age2. 6 Partial explained variance of the single regression terms within the optimal multivariate model (maximal explained variance).