Table 1.
A. diet consumption | |||||
---|---|---|---|---|---|
F | df | resid. df | p-value | ||
(intercept) | 187.074 | 1 | 1.68 | 0.0102 | |
diet | 18.482 | 3 | 356.16 | >0.001 | |
model comparison | |||||
LLR | df | p-value | variance | Δ variance | |
base model | 19.21% | – | |||
mito | 2.461 | 1 | 0.04811 | 20.59% | 1.38% |
diet-specific mito | 15.941 | 9 | 0.00101 | 24.83% | 4.24% |
B. fitness | |||||
F | df | Resid. df | p-value | ||
(intercept) | 58.5258 | 1 | 4.27 | 0.0011 | |
protein | 6.5259 | 1 | 357.46 | 0.01104 | |
carbohydrate | 4.6687 | 1 | 354.85 | 0.0313 | |
protein2 | 6.8662 | 1 | 355.42 | 0.0091 | |
carbohydrate2 | 2.9447 | 1 | 352.75 | 0.0870 | |
protein × carbohydrate | 0.0865 | 1 | 356.07 | 0.7688 | |
model comparison | |||||
LLR | df | p-value | variance | Δ variance | |
base model | 16.62% | – | |||
mito | 9.8427 | 1 | 0.0018 | 20.29% | 3.67% |
diet-specific mito | 9.7451 | 14 | 0.0495 | 26.40% | 6.11% |