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Linear regressions between dependents (R, P2, P1, r) and independent Ns by using linear models: r = b0 + b1Ns, R = b0 + b1Ns, P2 = b0 + b1Ns, P1 = b0 + b1Ns
| Dependent | Mth | R2 | d.f. | F | Sigf | b0 | b1 |
|---|---|---|---|---|---|---|---|
| R | LIN | 0.875 | 16 | 111.80 | 0.000 | 2.8716 | −0.0005 |
| P2 | LIN | 0.833 | 16 | 79.57 | 0.000 | 0.0684 | −0.00001 |
| P1 | LIN | 0.745 | 16 | 46.83 | 0.000 | 0.4245 | −0.00007 |
| r | LIN | 0.909 | 22 | 218.51 | 0.000 | 0.1129 | 0.00002 |
