Eq. n˚ and correlation type

Equation

R

R²

MBE

RMSE

t

1.1. Linear

$y=0.3629x+0.3037$

0.8851

0.7833

−0.000225

0.023922

0.031196

1.2. ''

$y=0.3406x^{\prime }+0.3045$

0.8871

0.7869

−0.000125

0.023723

0.017476

2.1. Logarithmic

$y=0.2231\ln x+0.6406$

0.8877

0.7881

−0.000125

0.023734

0.017468

2.2. ''

$y=0.2226\ln x^{\prime }+0.6270$

0.8897

0.7916

0.000017

0.023458

0.002356

3.1. Exponential

$y=0.3608{\text{e}}^{0.6889x}$

0.8804

0.7751

−0.000292

0.046559

0.020777

3.2. ''

$y=0.3438{\text{e}}^{0.6465x^{\prime }}$

0.8822

0.7783

−0.000092

0.113109

0.002688

4.1. Power

$y=0.6508x^{0.4241}$

0.8842

0.7819

0.000042

0.045779

0.003019

4.2. ''

$y=0.6341{x^{\prime }}^{0.4230}$

0.8860

0.7851

0.000017

0.045466

0.001216

5.1. Quadratic

$y=0.1615+0.8366x-0.3776x^2$

0.8881

0.7887

−0.000425

0.023686

0.059521

5.2. ''

$y=0.1610+0.7890x^{\prime }-0.3362{x^{\prime }}^2$

0.8901

0.7923

−0.000817

0.023429

0.115676

Mean value of statistical indicator

0.8862

0.7851

−0.000203

0.039287

0.027139