Table 2.
Model selection results for upper tooth row as response
| Model No. | Intercept | lower OPCR | rt | rd | a | df | logLik | AICc | ΔAICc | Akaike weight |
|---|---|---|---|---|---|---|---|---|---|---|
| 3 |
0.98 |
0.77 |
|
−0.21 |
|
5 |
27.73 |
−43.32 |
0.00 |
0.757 |
| 4 |
0.87 |
0.78 |
−0.04 |
−0.18 |
|
6 |
27.84 |
−40.58 |
2.75 |
0.192 |
| 2 |
0.76 |
0.81 |
−0.17 |
|
|
5 |
24.93 |
−37.71 |
5.61 |
0.046 |
| 1 |
1.37 |
0.79 |
|
|
|
3 |
19.43 |
−32.06 |
11.26 |
0.003 |
| 5 | 1.36 | 0.74 | 0.07 | 5 | 22.03 | −31.92 | 11.41 | 0.003 |
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.