SSE and R2 values from fitting of RD and NLRD models to F(t)
| Measures of goodness of fit | WT-cTnT | cTnTS199E/T204E | ||||
| RD | NLRD | p-value | RD | NLRD | p-value | |
| SSE | 3.255 ± 0.293 | 0.729 ± 0.093 | 9.25 × 10−6 | 4.665 ± 0.413 | 1.092 ± 0.129 | 3.49 × 10−5 |
| R2 | 0.949 ± 0.004 | 0.988 ± 0.001 | 6.30 × 10−6 | 0.904 ± 0.008 | 0.978 ± 0.003 | 3.31 × 10−5 |
| Measures of goodness of fit | WT-cTnT | cTnTS199E/T204E | ||||
| RD | NLRD | p-value | RD | NLRD | p-value | |
| SSE | 3.255 ± 0.293 | 0.729 ± 0.093 | 9.25 × 10−6 | 4.665 ± 0.413 | 1.092 ± 0.129 | 3.49 × 10−5 |
| R2 | 0.949 ± 0.004 | 0.988 ± 0.001 | 6.30 × 10−6 | 0.904 ± 0.008 | 0.978 ± 0.003 | 3.31 × 10−5 |
Model estimates fit the data reasonably well, giving low SSE and high R2. The addition of the nonlinear interaction term significantly enhanced the goodness of fit by decreasing SSE and increasing R2. p-value is that of the comparison between the RD and NLRD model fits in each experimental group.