Table 3.
SAS results for the cumulative regression Model #1
| Testing global null hypothesis: BETA = 0 | |||||
|---|---|---|---|---|---|
| Test | Chi-square | DF | Pr > ChiSq | ||
| Likelihood ratio | 241.7532 | 1 | <0.0001 | ||
| Score | 78.1015 | 1 | <0.0001 | ||
| Wald | 68.7759 | 1 | <0.0001 | ||
| Parameter | DF | Estimate | Standard error | Wald Chi-square | Pr > ChiSq |
|---|---|---|---|---|---|
| Intercept 1 | 1 | 11.8983 | 1.6204 | 53.9194 | <0.0001 |
| Intercept 2 | 1 | 13.9035 | 1.7733 | 61.4725 | <0.0001 |
| Intercept 3 | 1 | 15.4594 | 1.8966 | 66.4385 | <0.0001 |
| Intercept 4 | 1 | 17.0854 | 2.0444 | 69.8408 | <0.0001 |
| Intercept 5 | 1 | 19.5395 | 2.4128 | 65.5813 | <0.0001 |
| Intercept 6 | 1 | 21.9773 | 2.6717 | 67.6682 | <0.0001 |
| Intercept 7 | 1 | 23.7759 | 2.7845 | 72.9106 | <0.0001 |
| Intercept 8 | 1 | 30.9098 | 4.3305 | 50.9476 | <0.0001 |
| Intercept 9 | 1 | 44.2137 | 5.3890 | 67.3120 | <0.0001 |
| Kerf mean (mm) | 1 | 15.8759 | 1.9143 | 68.7759 | <0.0001 |
Analysis of maximum likelihood estimates: 