Table 3 ANOVA for the effect of independent parameters on the rut depth.
From: Applications of machine learning in predicting rut depth in off-road environments
Source | DF | Adj SS | Adj MS | P-value |
|---|---|---|---|---|
Traffic | 14 | 11,385 | 813 | 0.000 |
Movment velocity | 2 | 887 | 444 | 0.000 |
Vertical load | 2 | 24,217 | 12,108 | 0.000 |
Wheel type | 1 | 243,327 | 243,327 | 0.000 |
Traffic*Movment velocity | 28 | 170 | 6 | 0.242 |
Traffic*Vertical load | 28 | 744 | 27 | 0.000 |
Traffic*Wheel type | 14 | 2112 | 151 | 0.000 |
Movment Velocity*Vertical load | 4 | 132 | 33 | 0.000 |
Movment Velocity*Wheel type | 2 | 433 | 216 | 0.000 |
Vertical Load*Wheel type | 2 | 5914 | 2957 | 0.000 |
Error | 172 | 872 | 5 | |
Total | 269 | 290,192 |
