Eq. n˚ and correlation type

Equation

R

R²

MBE

RMSE

t

1.1. Linear

$y=0.3494x+0.2850$

0.8776

0.7702

−0.000108

0.018582

0.019337

1.2. ''

$y=0.3321x^{\prime }+0.2832$

0.8802

0.7747

0.000083

0.018399

0.015022

2.1. Logarithmic

$y=0.1817\ln x+0.5889$

0.8751

0.7657

0.000083

0.018774

0.014722

2.2. ''

$y=0.1847\ln x^{\prime }+0.5794$

0.8782

0.7713

0.000042

0.018559

0.007446

3.1. Exponential

$y=0.3156{\text{e}}^{0.7452x}$

0.8806

0.7754

−0.000350

0.039593

0.029320

3.2. ''

$y=0.3150{\text{e}}^{0.7051x^{\prime }}$

0.8790

0.7727

0.000233

0.039305

0.019690

4.1. Power

$y=0.6036x^{0.3879}$

0.8789

0.7725

−0.000017

0.039778

0.001390

4.2. ''

$y=0.5910{x^{\prime }}^{0.3927}$

0.8785

0.7718

0.000025

0.039393

0.002105

5.1. Quadratic

$y=0.2987+0.2959x+0.0504x^2$

0.8779

0.7707

−0.000367

0.018346

0.066301

5.2. ''

$y=0.2848+0.3263x^{\prime }+0.0052{x^{\prime }}^2$

0.8803

0.7750

0.000175

0.018430

0.031494

Mean value of statistical indicator

0.8786

0.7720

−0.000020

0.022985

0.020544