Eq. n˚ and correlation type

Equation

R

R²

MBE

RMSE

t

1.1. Linear

$y=0.3086x+0.3336$

0.8841

0.7816

−0.000008

0.017873

0.001546

1.2. ''

$y=0.2862x^{\prime }+0.3361$

0.8812

0.7765

−0.000017

0.018076

0.003058

2.1. Logarithmic

$y=0.1855\ln x+0.6170$

0.9008

0.8114

0.000008

0.016884

0.001637

2.2. ''

$y=0.1831\ln x^{\prime }+0.6045$

0.8948

0.8007

0.000033

0.017069

0.006470

3.1. Exponential

$y=0.3603{\text{e}}^{0.6020x}$

0.8805

0.7752

−0.000192

0.035512

0.017901

3.2. ''

$y=0.3623{\text{e}}^{0.5582x^{\prime }}$

0.8775

0.7700

−0.000108

0.035915

0.010004

4.1. Power

$y=0.6267x^{0.3623}$

0.8981

0.8066

0.000083

0.033112

0.008347

4.2. ''

$y=0.6116{x^{\prime }}^{0.3575}$

0.8919

0.7956

0.000008

0.033864

0.000816

5.1. Quadratic

$y=-0.0061+1.4729x-0.9634x^2$

0.9133

0.8342

−0.000425

0.015610

0.090334

5.2. ''

$y=-0.0135+1.4130x^{\prime }-0.8755{x^{\prime }}^2$

0.9122

0.8321

0.000183

0.015685

0.038769

Mean value of statistical indicator

0.8934

0.7984

−0.000044

0.023960

0.017889