Table 4. Multiple regression statistics of the neutral model.
| Model Neutral | Start AIC | Final AIC | F | R2 | ΔR2 | p | ||
|---|---|---|---|---|---|---|---|---|
| 149.59 | 137.75 | (2,86) = 5.29 | 0.12 | 0.10 | .002** | |||
| Coefficients | Estimate (B) | Std. Error (B) | t | p | β | VIF | Mean VIF | Autocorrelation |
| Intercept | 3.16 | 0.98 | 3.21 | .001*** | 0 | |||
| TV_Newspaper | -0.25 | 0.13 | -1.82 | .07 | -0.18 | 1 | ||
| Approval Region Governor | 0.25 | 0.07 | 3.22 | .001*** | 0.32 | 1 | ||
| 1 | DW = 1.74; p = .23 |
The table reports the multiple regression statistics separated by condition as resulting from the backward procedure and coefficient values. Model Neutral: Outcome variable = total score in condition neutral.