Table 8 Polynomial (quadratic) regression models for kharif crops.
Sr# | Quadratic models | Coefficient | P-value | R | R2 |
|---|---|---|---|---|---|
1. | SYRSsugarcane Vs SDRSVCI | (0.149) + 0.672(SDRSVCI) – 0.165(SDRSVCI)² | 0.000*** | 0.79 | 0.62 |
2. | SYRSsugarcane Vs SDRSTCI | (0.117) – 0.110(SDRSTCI) – 0.130(SDRSTCI)² | 0.71 | 0.19 | 0.03 |
3. | SYRSsugarcane Vs SDRSVHI | (− 0.042) + 0.417(SDRSVHI) + 0.047(SDRSVHI)² | 0.25 | 0.38 | 0.14 |
4. | SYRSrice Vs SDRSVCI | (0.118) + 0.480(SDRSVCI) – 0.131(SDRSVCI)² | 0.03* | 0.57 | 0.33 |
5. | SYRSrice Vs SDRSTCI | (− 0.073) + 0.368(SDRSTCI) + 0.081(SDRSTCI)² | 0.48 | 0.28 | 0.08 |
6. | SYRSrice Vs SDRSVHI | (− 0.077) + 0.518(SDRSVHI) + 0.085(SDRSVHI)² | 0.12 | 0.46 | 0.21 |
7. | SYRSmaize Vs SDRSVCI | (0.049) + 0.225(SDRSVCI) – 0.054(SDRSVCI)² | 0.53 | 0.26 | 0.07 |
8. | SYRSmaize Vs SDRSTCI | (− 0.096) – 0.141(SDRSTCI) + 0.107(SDRSTCI)² | 0.40 | 0.32 | 0.10 |
9. | SYRSmaize Vs SDRSVHI | (− 0.152) + 0.046(SDRSVHI) + 0.169((SDRSVHI)² | 0.41 | 0.31 | 0.09 |
10. | SYRScotton Vs SDRSVCI | (0.101) + 0.077(SDRSVCI) – 0.112(SDRSVCI)² | 0.66 | 0.21 | 0.04 |
11. | SYRScotton Vs SDRSTCI | (0.052) – 0.301(SDRSTCI) – 0.058(SDRSTCI)² | 0.60 | 0.24 | 0.05 |
12. | SYRScotton Vs SDRSVHI | (0.015) – 0.135(SDRSVHI) – 0.017(SDRSVHI)² | 0.87 | 0.12 | 0.01 |
