Table 2.
Simple Linear Regression With HFF as Dependent Variable
| Outcome: HFFa | R squared: 0.153 | ||
|---|---|---|---|
| Model Variables | B (Unstandardized) | β (Standardized) | P |
| (Intercept) | 3.799 | 0.173 | |
| Ranked F/B Ratio | 0.232 | 0.391 | 0.001 |
| Outcome: HFF | R squared: 0.148 | ||
| Model Variables | B (Unstandardized) | β (Standardized) | P |
| (Intercept) | 20.845 | <0.001 | |
| Ranked Bacteroidetes | -0.229 | -0.385 | 0.001 |
| Outcome: HFFa | R squared: 0.060 | ||
| Model Variables | B (Unstandardized) | β (Standardized) | P |
| (Intercept) | 17.858 | <0.001 | |
| Ranked Prevotella | -0.148 | -0.246 | 0.036 |
| Outcome: HFF | R squared: 0.069 | ||
| Model Variables | B (Unstandardized) | β (Standardized) | P |
| (Intercept) | 18.146 | <0.001 | |
| Ranked Gemmiger | -0.156 | -0.262 | 0.025 |
| Outcome: HFFa | R squared: 0.103 | ||
| Model Variables | B (Unstandardized) | β (Standardized) | P |
| (Intercept) | 19.458 | <0.001 | |
| Ranked Oscillospira | -0.191 | -0.321 | 0.006 |
The table shows that simple linear regression with HFF as the outcome was conducted separately for F/B ratio, Bacteroidetes, Prevotella, Gemmiger, and Oscillospira. Statistically significant P values are indicated in bold.
Abbreviation: F/B ratio, Firmicutes to Bacteroidetes ratio; HFF, hepatic fat fraction.
aThe model significantly predicts HFF (P < 0.05).