Table 3. Multiple regression statistics of the metaphoric model.
| Model Metaphoric | Start AIC | Final AIC | F | R2 | ΔR2 | p | ||
|---|---|---|---|---|---|---|---|---|
| 135.43 | 125.72 | (4,89) = 7.27 | 0.24 | 0.21 | < .0001*** | |||
| Coefficients | Estimate (B) | Std. Error (B) | t | p | β | VIF | Mean VIF | Autocorrelation |
| Intercept | -1.59 | 1.16 | -1.37 | .17 | 0 | |||
| Ind_Social | 0.21 | 0.09 | 2.18 | .03* | 0.20 | 1.04 | ||
| Political orientation | 0.44 | 0.11 | 3.84 | .0002*** | 0.38 | 1.17 | ||
| Approval Premier | 0.23 | 0.12 | 1.88 | .06 | 0.18 | 1.10 | ||
| Approval Region Governor | 0.12 | 0.07 | 1.78 | .07 | 0.17 | 1.08 | ||
| 1.10 | DW = 1.85; p = .46 |
The table reports the multiple regression statistics separated by condition as resulting from the backward procedure and coefficient values. Model Metaphoric: outcome variable = total score in condition metaphor.