Table 12 Third-order linear regression model for the 2 6 factorial design - Rastrigin function
From: Factorial design analysis applied to the performance of parallel evolutionary algorithms
Estimate | Standard error | t value | Pr(> | t|) | |
|---|---|---|---|---|
(Intercept) | 2.318 | 0.0864 | 26.821 | < 2e -16 |
Proc | -0.816 | 0.0864 | -9.445 | 3.38e -16 |
Pop | 0.529 | 0.0864 | 6.121 | 1.19e -08 |
Top | 0.327 | 0.0864 | 3.789 | 0.0002 |
Nindv | 0.296 | 0.0864 | 3.423 | 0.0008 |
Rate | -0.269 | 0.0864 | -3.110 | 0.0023 |
Top:Rate | 0.320 | 0.0864 | 3.700 | 0.0003 |