Regression Model | MFC | PFC | AF | VF |
---|---|---|---|---|
SR = a × STb × SMc | 2.015 × ST−0.001 × SM0.757; R2 = 0.83; AIC = 4.91 | 0.51 × ST−1.131 × SM0.776; R2 = 0.94; AIC = − 5.77 | 1.026 × ST0.19 × SM0.906; R2 = 0.73; AIC = 7.25 | 0.039 × ST1.005 × SM1.224; R2 = 0.87; AIC = 4.35 |
SR = a × expbST × cSM | 2.047 × exp0ST × SM0.759; R2 = 0.83; AIC = 4.91 | 0.604 × exp0.046ST × SM0.787; R2 = 0.94; AIC = − 6.02 | 1.631 × exp0.007ST × SM0.898; R2 = 0.73; AIC = 14.61 | 0.039 × exp0.037ST × SM1.208; R2 = 0.86; AIC = 5.33 |
SR = a × expbST × cSM × dSMA | 1.364 × exp−0.003ST × SM0.722 × SMA0.24; R2 = 0.84; AIC = 3.5 | 0.12 × exp0.04ST × SM0.732 × SMA0.855; R2 = 0.95; AIC = − 8.96 | 1.134 × exp−0.017ST SM0.016 × SMA−0.728; R2 = 0.85; AIC = 6 | 0.461 × exp−0.036ST × SM0.852 × SMA0.326; R2 = 0.91; AIC = − 0.98 |
SR = a × STb × SMc × SMAd | 1.552 × ST−0.063 × SM0.721 × SMA0.24; R2 = 0.84; AIC = 3.5 | 0.014 × ST0.973× SM0.723 × SMA0.853; R2 = 0.95; AIC = − 8.8 | 2.807 × ST−0.409 × SM0.45 × SMA1.171; R2 = 0.85; AIC = 6.25 | 0.049 × ST0.972 × SM0.909 × SMA.295; R2 = 0.91; AIC = − 2.9 |
SR = a + bST + cSM + dSMA | 0.601 − 0.018ST + 1.195SM + 0.096SMA R2 = 0.85; AIC = 2.86 | − 2.024 + 0.037ST + 1.252SM + 0.217SMA R2 = 0.93; AIC = − 6.58 | 0.786 − 0.006ST + 1.134SM + 0.787SMA; R2 = 0.82; AIC = 8.64 | − 7.955 + 0.207ST + 1.72SM + 0.464SMA; R2 = 0.92; AIC = − 1.72 |