Regression project

Mathematical model of correlation analysis

Regression coefficient

Binary linear regression

V = 0.0977*TOC + 0.1153*S + 0.0564

R² = 0.5969

V = 0.1170*TOC + 0.0398*Φ + 0.0147

R² = 0.5158

V = 0.1157*TOC + 0.0101*C − 0.4028

R² = 0.6093

V = 0.1712*S + 0.0878*Φ − 0.0873

R² = 0.5201

V = 0.0070*C + 0.1673*S − 0.1968

R² = 0.4277

V = 0.0130*C + 0.1173*Φ − 0.7052

R² = 0.5151

Ternary linear regression

V = 0.0776*TOC + 0.0397*Φ + 0.1152*S − 0.0262

R² = 0.6178

V = 0.0924*TOC + 0.0450*Φ + 0.0103*C − 0.5059

R² = 0.6434

V = 0.1023*TOC + 0.0510*S + 0.0082*C − 0.3266

R² = 0.7021

V = 0.0816*TOC + 0.0741*S − 0.0285*T + 1.2171

R² = 0.6023

V = 0.0974*TOC + 0.1000*S − 0.1689*Ro + 0.5079

R² = 0.5944