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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

  Panel plots Before correction After correction
   A(a) A(b) A(c) B(a) B(b) B(c)
   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
  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
  p-value 0.0124 0.2305 0.0092 0.0011 0.2172 0.0008
  1. Log scale (exponential) indicates that linear regression models are fitted to the logarithm of the salinity tolerance indices