Table 1.
Variable | Estimate | S.E. | Numerator df |
Denominator df |
t value | F | p1 |
---|---|---|---|---|---|---|---|
Model 1: Reproductive State | |||||||
Dependent variable: % feeding time on meat2 | |||||||
Intercept | 0.102 | 0.013 | 2 | 23 | 7.70 | <0.001 | |
Reproductive State | 2 | 24 | 3.87 | 0.035** | |||
Pregnant3 | 0.055 | 0.023 | 2.35 | 0.028 | |||
Early Lactation3 | −0.010 | 0.017 | −0.57 | 0.573 | |||
Dependent variable: % feeding time on insects2 | |||||||
Intercept | 0.259 | 0.017 | 2 | 23 | 15.40 | <.001 | |
Reproductive State | 2 | 24 | 1.41 | 0.263 | |||
Pregnant2 | −0.029 | 0.027 | −1.06 | 0.300 | |||
Early Lactation2 | −0.031 | 0.019 | −1.59 | 0.124 |
p values denoted with ** indicate an effect (p<0.05).
after arcsine square-root transformation,
compared to baseline.