Eq. n˚ and correlation type

Equation

R

R²

MBE

RMSE

t

1.1. Linear

$y=0.3416x+0.2462$

0.9483

0.8993

0.000108

0.012113

0.029664

1.2. ''

$y=0.31207x+0.2466$

0.9491

0.9008

−0.000192

0.011874

0.053544

2.1. Logarithmic

$y=0.1677\ln x+0.5299$

0.9486

0.8999

−0.000050

0.012786

0.012970

2.2. ''

$y=0.1573\ln x^{\prime }+0.5202$

0.9417

0.8868

−0.000042

0.012668

0.010908

3.1. Exponential

$y=0.2815{\text{e}}^{0.7708x}$

0.8761

0.7675

−0.000267

0.030279

0.029211

3.2. ''

$y=0.2740{\text{e}}^{0.7821x^{\prime }}$

0.9477

0.8981

−0.000325

0.029365

0.036710

4.1. Power

$y=0.5474x^{0.3858}$

0.9425

0.8883

0.000000

0.030746

0.000000

4.2. ''

$y=0.5346{x^{\prime }}^{0.3849}$

0.9434

0.8901

0.000017

0.030521

0.001811

5.1. Quadratic

$y=0.2624+0.2702x+0.0735x^2$

0.9485

0.8996

0.000383

0.012293

0.103472

5.2. ''

$y=0.2602+0.2647x^{\prime }+0.0548{x^{\prime }}^2$

0.9494

0.9013

−0.000167

0.011872

0.046564

Mean value of statistical indicator

0.9395

0.8832

−0.000054

0.019452

0.032485