Table 2.
Multi-linear regression results using SPSS: where the dependent variable was Supine to Standing Cobb change
| Model |
Unstandardized coefficients |
Significance | ||
|---|---|---|---|---|
| B | Std. Error | |||
| (Intercept/Constant) |
-29.039 |
8.027 |
.001 |
|
| Standing Cobb from X-ray (°) |
.408 |
.084 |
.000 |
Independent variables |
| Age (years) |
.686 |
.301 |
.027 |
|
| Fulcrum flexibility (%) | .053 | .044 | .001 | |
Note: Unstandardized coefficients refer to the change in predicted Y for one unit change in X. B coefficients are the values for the regression equation for predicting the dependent variable from the independent variable. Std. Error is the standard error associated with the coefficients.