| Model | Sum of Squares | df | Mean Square | F | Sig. |
---|
1 | Regression | 19182387.435 | 6 | 3197064.5275 | 159.76 | 7.671E-31aaaa |
 | Residual | 1000765.348 | 50 | 20011.647 |  |  |
 | Total | 20183152.435 | 56 |  |  |  |
- a. Predictors: (Constant), HH, TR, BS, CX, SD, DG. b. Dependent Variable: TaoHongSiWu decoction. The linear regression equation was Y = − 31.005 + 2.045X1 + 0.231X2 + 0.995X3 + 0.565X4 + 0.585X5 + 0.136X6. Correlation r = 0.974. Linear regression analysis shows significant difference (P < 0.01).