Table 5.
The predictors of farmers' productivity.
| Adjusted coefficients | Crude coefficients | |||||||
|---|---|---|---|---|---|---|---|---|
| B | S.E | Beta | B | S.E | Beta | |||
| WBGT | −1.040 | 0.066 | −0.600 | <0.001 | −1.058 | 0.069 | −0.610 | <0.001 |
| BMI | −0.064 | 0.024 | −0.119 | 0.008 | −0.120 | 0.027 | −0.222 | <0.001 |
| Age | 0.023 | 0.011 | 0.089 | 0.033 | 0.000 | 0.013 | 0.001 | 0.983 |
| Gender | 0.873 | 0.169 | 0.208 | <0.001 | 1.032 | 0.205 | 0.246 | <0.001 |
∗Significant at p=0.05 level. R2 = 0.444: the four factor model (WBGT, gender, age, and BMI) explained 44.4% of the variance in productivity for multiple regression model.