Eq. n˚ and correlation type

Equation

R

R²

MBE

RMSE

t

1.1. Linear

$y=0.2881x+0.2951$

0.8975

0.8055

0.000083

0.017850

0.015484

1.2. ''

$y=0.2701x^{\prime }+0.2957$

0.8993

0.8088

−0.000008

0.017679

0.001563

2.1. Logarithmic

$y=0.1600\ln x+0.5537$

0.8921

0.7959

−0.000025

0.018385

0.004510

2.2. ''

$y=0.1563\ln x^{\prime }+0.5419$

0.8766

0.7684

−0.000017

0.018166

0.003043

3.1. Exponential

$y=0.3203{\text{e}}^{0.6239x}$

0.8939

0.7990

0.000092

0.039428

0.007711

3.2. ''

$y=0.3208{\text{e}}^{0.5850x^{\prime }}$

0.8956

0.8021

−0.000250

0.038616

0.021472

4.1. Power

$y=0.5113x^{0.3474}$

0.8904

0.7928

−0.000075

0.040043

0.006212

4.2. ''

$y=0.5492{x^{\prime }}^{0.3458}$

0.8919

0.7955

−0.000025

0.039764

0.002085

5.1. Quadratic

$y=0.3306+0.1574x+0.1131x^2$

0.8978

0.8061

−0.000017

0.017778

0.003109

5.2. ''

$y=0.3342+0.1367x^{\prime }+0.1089{x^{\prime }}^2$

0.9002

0.8103

0.000033

0.017631

0.006270

Mean value of statistical indicator

0.8935

0.7984

−0.000021

0.026534

0.008553