|  | Simple linear regression model in the logit1 scale: logit (PWHO) = a+b*logit (PNCHS) | |||
---|---|---|---|---|---|
Algorithm | N | Intercept a (95% CI) | Slope b (95% CI) | Correlation coefficient (R2) | Mean square error |
Underweight | 271 | -0.177 (-0.231, -0.124)2 | 0.987 (0.955, 1.019)2 | 0.931 | 0.073 |
Stunting | 271 | 0.216 (0.198, 0.235)2 | 0.925 (0.908, 0.941)2 | 0.979 | 0.012 |
Wasting | 271 | 0.026 (-0.038, 0.090) | 0.928 (0.905, 0.951)2 | 0.959 | 0.030 |
Overweight | 256 | 0.235 (0.117, 0.353)2 | 0.912 (0.880, 0.944)2 | 0.925 | 0.064 |