Table 2 A and B Linear regression analysis of MoCA score at baseline and reduction of QIDS-SR16 from baseline
A: Model Summary | ||||||
Variables | Predictor: MoCA score | |||||
| Â | Pearson correlation | R Square | ||||
Dependent variable: Reduction of QIDS-SR16 from baseline (%) | 0.453* | 0.206 | ||||
B: ANOVA | ||||||
| Â | Sum of Squares | df | Mean Square | Sig P (2-tailed) | ||
Regression | 2523.8 | 1 | 2523.8 | 0.034* < 0.05 | ||
Residual | 9752.1 | 20 | 487.6 | Â | ||
Total | 12,275.9 | 21 | Â | Â | ||