Table 3.
Model selection results for lower tooth row as response
| Model No. | Intercept | upper OPCR | rt | rd | a | df | logLik | AICc | ΔAICc | Akaike weight |
|---|---|---|---|---|---|---|---|---|---|---|
| 3 |
−0.86 |
1.21 |
|
0.25 |
|
5 |
20.21 |
−28.29 |
0.00 |
0.446 |
| 2 |
−0.26 |
1.11 |
0.24 |
|
|
5 |
19.73 |
−27.33 |
0.96 |
0.276 |
| 4 |
−0.47 |
1.16 |
0.13 |
0.16 |
|
6 |
21.21 |
−27.30 |
0.99 |
0.273 |
| 1 |
−1.23 |
1.17 |
|
|
|
3 |
12.78 |
−18.76 |
9.53 |
0.004 |
| 5 | −1.34 | 1.16 | 0.04 | 5 | 14.48 | −16.82 | 11.47 | 0.001 |
Models are presented in order of relative best to worst. Shown are parameter estimates, number of parameters (df), log-likelihood, AICc, ΔAICc, and Akaike weight for each model.