Table 4.
Multiple regression analysis on the number of chickens on the range daily in winter, and hourly in summer (adjusted r2 = 0.76 and 0.35 in winter and summer, respectively). Only variables that significantly contributed to the most parsimonious model are presented.
| Predictor | Beta Coefficient (Standardised) | t(5, 360) | Partial Correlation Coefficient |
|---|---|---|---|
| Winter | |||
| Rainfall | −0.34 * | −2.46 | −0.34 |
| Age | 0.83 ** | 6.06 | 0.83 |
| Summer | |||
| Indoor dew point | −0.44 ** | −8.35 | −0.36 |
| Rainfall (daily) | −0.26 ** | −4.80 | −0.21 |
| Indoor temperature | −0.22 ** | −4.19 | −0.18 |
| Wind speed | 0.12 ** | 2.70 | 0.12 |
| Age | 0.22 ** | 4.61 | 0.20 |
| Flock | 0.18 ** | 4.61 | 0.20 |
* and ** indicates significance at the 0.05 and 0.01 level, respectively.