Table 2 Summary of the \(R^2\) and p-values when both linear and nonlinear regression models are fitted to each of the six cases in Fig. 6
From: Growth curve registration for evaluating salinity tolerance in barley
| Â | Panel plots | Before correction | After correction | ||||
|---|---|---|---|---|---|---|---|
| Â | Â | A(a) | A(b) | A(c) | B(a) | B(b) | B(c) |
| Â | Â | FST-Na | FST-K | FST-Na/K | CFST-Na | CFST-K | CFST-Na/K |
Linear regression | \(R^2\) | 0.2371 | 0.0573 | 0.2525 | 0.3594 | 0.0587 | 0.3688 |
| Â | p-value | 0.0117 | 0.2385 | 0.0089 | 0.0012 | 0.2332 | 0.0010 |
Log scale (exponential) | \(R^2\) | 0.2337 | 0.0593 | 0.2505 | 0.3665 | 0.0627 | 0.3781 |
| Â | p-value | 0.0124 | 0.2305 | 0.0092 | 0.0011 | 0.2172 | 0.0008 |