Table 2.
Linear regression modeling
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| 16 variables from bivariate analysis (Bayley 5 subscales at 2 years separately) | 16 variables from bivariate analysis (Bayley 5 subscales at 2 years separately) | 12 variables from bivariate analysis (Bayley at 2 years aggregated) | 12 variables from bivariate analysis (Bayley at 2 years aggregated) | |
| Regression | linear regression | stepwise backward regression | linear regression | stepwise backward regression |
| No of significant predictors | 1 | 5 | 2 | 4 |
| Adjusted R2 | 0.5362 | 0.5491 | 0.5474 | 0.5701 |
| RMSE | 12.292 | 12.12 | 12.144 | 11.835 |
| F | 8.23 | 25.36 | 11.08 | 34.15 |
| p > F | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
| AIC | 808.8262 | 796.4019 | 803.0702 | 790.6543 |
AIC Akaike information criterion, BSID Bayley Scales of Infant and Toddler Development, RMSE Root mean square error