Table 4. Final Multivariate Linear Regression Model Parameter Estimates.
| Variable | Estimate (β) | StdErr | tValue | P-value | Tolerance | Variance Inflation |
|---|---|---|---|---|---|---|
| Intercept | 37.50949 | 13.04383 | 2.88 | 0.0041 | — | — |
| Age | −0.18183 | 0.07438 | −2.44 | 0.0147 | 0.96132 | 1.04024 |
| BMI | −0.42207 | 0.30801 | −1.37 | 0.1709 | 0.74649 | 1.33960 |
| IRI | −1.39992 | 0.28442 | −4.92 | <0001 | 0.79013 | 1.26561 |
| DBP | −0.30748 | 0.09060 | −3.39 | 0.0007 | 0.88103 | 1.13504 |
| Hct | 1.52374 | 0.27512 | 5.54 | <0001 | 0.87582 | 1.14179 |
Dependent Variable: SNCA concentration (ng/dL).
Final multivariate linear regression model using IRI. In this model, stepwise selection was used. HOMA-IR was excluded from this model to avoid collinearities. Both the entry and keep criteria into the model was set at the alpha level of 0.20. SNCA, alpha synuclein; Age (years); BMI, Body Mass Index (kg/cm2); IRI, Immunoreactive insulin (μU/mL); Hct, hematocrit, Hct (%); DBP, diastolic blood pressure (mmHg). n = 1152.