Table 2.
Regression relationships developed by region to adjust CMAQv5.0 results based on data in Additional file1: Table S1
| Value | Standard error | T-value | P-value | |
|---|---|---|---|---|
|
Overall estimate and slope | ||||
| Intercept |
0.01875 |
0.16 |
-0.69 |
0.49 |
| CMAQv5.0 |
1.896 |
2.34 |
1.99 |
0.05 |
|
Random effects by region | ||||
| Region |
Intercept |
CMAQv5.0 |
|
|
| Midwest/East |
0 |
1.12 |
|
|
| South |
0 |
-0.269 |
|
|
| West |
0 |
-0.856 |
|
|
|
Final equations used to adjust original CMAQv5.0 results | ||||
| Midwest/East |
SOA = 0.01875 + 3.016*CMAQv5.0 |
|
||
| South |
SOA = 0.01875 + 1.627*CMAQv5.0 |
|
||
| West | SOA = 0.01875 + 1.04*CMAQv5.0 | |||
Model based on Equation 1.
Linear mixed model fit by REML.
Formula: SOA ~ CMAQv5.0 + (CMAQv5.0 | region).