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. 2019 Jul 17;8(7):230. doi: 10.3390/plants8070230

Table 4.

Fitted constant (a) and coefficient (b) of the models used to estimate the loquat leaf area (LA in cm2) of single leaves from leaf length (L) and leaf width (W) measurements. The standard errors and p-value in parenthesis; L and W were in cm. All data were derived from the calibration Experiment 2015 (n = 1890 leaves).

Model No. Form of the Model Tested Fitted Coefficient and Constant R2 RMSE BIC PRESS SSE Bias
(PRESS-SSE)
a (SE/p-Value) b (SE/p-Value)
1 LA = a + b × L −83.292 (1.801/***) 8.510 (0.087/***) 0.836 16.14 15,664 486,356 484,990 1366
2 LA = a × eb×L 14.610 (0.291/***) 0.086 (0.001/***) 0.851 15.74 15,571 462,944 461,346 1598
3 LA = a + b × L2 2.227 (0.901/*) 0.203 (0.002/***) 0.853 15.27 15,458 435,447 434,241 1206
4 LA = a + b × W −61.081 (1.321/***) 23.575 (0.202/***) 0.880 13.83 15,089 357,115 356,091 1024
5 LA = a × eb×W 19.217 (0.284/***) 0.230 (0.002/***) 0.878 13.82 15,087 357,303 355,669 1634
6 LA = a + b × W2 14.025 (0.666/***) 1.741 (0.014/***) 0.894 12.98 14,854 314,867 313,948 919
7 LA = a + b × (L × W) −0.516 (0.321/ns) 0.667 (0.002/***) 0.980 5.614 11,732 58,879 58,694 185

Note: *** p < 0.001; * p < 0.05; ns = not significant; R2 = coefficient of determination; RMSE (cm2) = root mean squared error; BIC = Bayesian information criterion, PRESS = predicted residual error sum of squares; SSE = sum of squared error; Bias = differences between the PRESS and SSE values.