Table 2.
LogRDS only model | R² = 0.25 | |||
---|---|---|---|---|
Term | Estimate | SE | t-ratio | Prob > |t| |
Intercept | 0.11 | 0.04 | 2.64 | 0.0094* |
LogRDS | 0.25 | 0.04 | 6.39 | <0.0001* |
LogAvgDist only model | R² = 0.14 | |||
Term | Estimate | SE | t-ratio | Prob > |t| |
Intercept | −0.1 | 0.09 | −1.03 | 0.3032 |
LogAvgDist | 0.28 | 0.06 | 4.42 | <0.0001* |
Whole model | R² = 0.3 | |||
Term | Estimate | SE | t-ratio | Prob > |t| |
Intercept | −0.13 | 0.08 | −1.58 | 0.1168 |
LogRDS | 0.25 | 0.05 | 5.23 | <0.0001* |
LogAvgDist | 0.18 | 0.06 | 2.9 | 0.0045* |
Logistic regression model | R² = 0.33 | |||
Term | Estimate | SE | χ2 | Prob > |t| |
Intercept | 3.94 | 0.81 | 23.66 | <0.0001* |
LogRDS | −2.06 | 0.55 | 14.13 | 0.0002* |
LogAvgDist | −0.81 | 0.53 | 2.37 | 0.1239 |
(LogRDS-0.70) × (LogAvgDist–1.31) | −2.06 | 0.87 | 5.6 | 0.0180* |
SE standard error
* Significant at alpha <0.05