Table 2. Partial regression coefficients and robust standard errors for standardized variables in the best model (lowest AIC; Table 1) for the probability that a Magellanic penguin chick died in a storm at Punta Tombo, Argentina, 1983–2010.
Predictor variables | Coefficient | Robust standard error |
Age | −3.97 | 0.60 |
Age * Rain | −3.48 | 0.53 |
Age squared * Rain | 3.42 | 0.54 |
Age squared | −2.64 | 0.51 |
Age squared * Rain * Low | 2.06 | 0.37 |
Age squared * Low | 1.32 | 0.25 |
Rain | 1.31 | 0.23 |
Intercept | −3.24 | 0.26 |
We used multiple logistic regression, grouping on nest, with robust standard errors on 2482 chicks in 590 nests with 233 storms. Age = chick age (days) on date of storm (chicks that did not die in a storm were randomly assigned to a storm), Low = low temperature, * indicates interaction terms. Variables were standardized so the coefficient magnitudes indicate their relative strengths.