Multivariate testsa
| Effect | Value | F | Hypothesis df | Error df | Sig | |
|---|---|---|---|---|---|---|
| Intercept | Pillai's Trace | 0.748 | 74.388b | 4.000 | 100.000 | 0.000 |
| Wilks' Lambda | 0.252 | 74.388b | 4.000 | 100.000 | 0.000 | |
| Hotelling's Trace | 2.976 | 74.388b | 4.000 | 100.000 | 0.000 | |
| Roy's Largest Root | 2.976 | 74.388b | 4.000 | 100.000 | 0.000 | |
| CG | Pillai's Trace | 0.248 | 3.567 | 8.000 | 202.000 | 0.001 |
| Wilks' Lambda | 0.764 | 3.596b | 8.000 | 200.000 | 0.001 | |
| Hotelling's Trace | 0.293 | 3.625 | 8.000 | 198.000 | 0.001 | |
| Roy's Largest Root | 0.224 | 5.650c | 4.000 | 101.000 | 0.000 | |
| Effect | Value | Hypothesis df | Error df | Sig | ||
|---|---|---|---|---|---|---|
| Intercept | Pillai's Trace | 0.748 | 74.388b | 4.000 | 100.000 | 0.000 |
| Wilks' Lambda | 0.252 | 74.388b | 4.000 | 100.000 | 0.000 | |
| Hotelling's Trace | 2.976 | 74.388b | 4.000 | 100.000 | 0.000 | |
| Roy's Largest Root | 2.976 | 74.388b | 4.000 | 100.000 | 0.000 | |
| CG | Pillai's Trace | 0.248 | 3.567 | 8.000 | 202.000 | 0.001 |
| Wilks' Lambda | 0.764 | 3.596b | 8.000 | 200.000 | 0.001 | |
| Hotelling's Trace | 0.293 | 3.625 | 8.000 | 198.000 | 0.001 | |
| Roy's Largest Root | 0.224 | 5.650c | 4.000 | 101.000 | 0.000 | |
Note(s): a. Design: Intercept + CG
b. Exact statistic
c. The statistic is an upper bound on F that yields a lower bound on the significance level
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.