Table 4 Multiple regression model testing the predictive role of the ToM network integrity and the CRI-q sub-scores on the ToM performance.
Model | Predictors | B | SE | t | p | 95%CI | Omnibus p | R2 |
|---|---|---|---|---|---|---|---|---|
1 | Intercept | 0.394 | 0.28 | 1.40 | 0.166 | −0.17-0.96 | 0.036 | 0.148 |
Age | 0.000 | 0.00 | 0.31 | 0.760 | 0.00–0.00 | |||
Sex | −0.033 | 0.02 | −1.39 | 0.171 | −0.08-0.01 | |||
ToM network | 4.596 | 2.12 | 2.17 | 0.035 | 0.34–8.85 | |||
2 | Intercept | −0.171 | 0.33 | −0.52 | 0.606 | −0.83-0.49 | 0.006 | 0.296 |
Age | −0.002 | 0.00 | −1.68 | 0.098 | 0.00–0.00 | |||
Sex | −0.023 | 0.02 | −0.96 | 0.339 | −0.07-0.02 | |||
ToM network | 6.057 | 2.04 | 2.97 | 0.005 | 1.97–10.15 | |||
CRI-q Education | 6.76·10−4 | 0.00 | −0.56 | 0.578 | −0.01-0.00 | |||
CRI-q Working Activity | 0.002 | 0.001 | 2.04 | 0.047 | 3.57·10−5−0.00 | |||
CRI-q Leisure Time | 0.003 | 0.001 | 2.15 | 0.036 | 1.95·10−4−0.00 |