Table 4.
Regression Coefficients, Offsets, and r2 Values for Univariate and Multiple Linear Regression Analyses
| |
Regression coefficients |
|
|
||
|---|---|---|---|---|---|
| Model | w1 | w2 | w3 | Offset | r2 |
| I | 561.9 | −1.6 | 0.43 | ||
| II | 208.5 | 4.9 | 0.51 | ||
| III | −161.9 | 160.3 | 0.46 | ||
| IV | 222.1 | 150.7 | 1.2 | 0.54 | |
| V | 324.7 | −104.5 | 99.4 | 0.54 | |
| VI | 142.4 | −66.6 | 68.0 | 0.54 | |
| VII | 217.6 | 87.1 | −65.2 | 63.0 | 0.57 |
Results of regression modeling based on the seven unique linear combinations of component weights. The univariate models were established with w1, w2, and w3 as independent variables. Multiple linear regression was performed with linear combinations of two, or all three, of the available component weights, as indicated. In all cases, measured sGAG was the dependent variable. For all models, regression coefficients are shown below the variables used in that model, along with the offsets and r2 as indicated.