Table 10 Summary of multivariate regression analysis for the social sciences.
Statistical Element | Values (model 1) | Values (model 2) |
|---|---|---|
Model Fit | R = 0.989, R2 = 0.979, Adjusted R2 = 0.971 | R = 1.000, R2 = 1.000, Adjusted R2 = 1.000 |
Overall Model Significance | F (1, 3) = 137.125, p = 0.001 | F (2, 2) = 5658.006, p < 0.001 |
Predictor Variable | Procedural | Procedural, Causative |
Regression Equation | Total = 13.887 + 1.438 (Procedural) | Total = 4.672 + 1.401 (Procedural) + 2.093 (Causative) |
Coefficient Significance | β = 0.989, t = 11.710, p = 0.001 | Procedural: β = 0.963, t = 100.898, p < 0.001 Causative: β = 0.148, t = 15.502, p = 0.004 |
Model Diagnostics | Durbin-Watson (N/A) | Durbin-Watson = 2.082 |
