Research Article
Performance Prediction Modelling for Flexible Pavement on Low Volume Roads Using Multiple Linear Regression Analysis
Table 3
Statistics of the performance prediction models.
| S. number | Dependent variable | Independent variable | Coefficients | Student’s | value | VIF |
| 1 | Roughness | (i) Age | 0.513 | 22.085 | 2.308 × 10−43 | 1.600 | (ii) MSN | −1.004 | −3.978 | 0.000 | 1.187 | (iii) CVPD | 0.121 | 2.331 | 0.021 | 1.444 |
| 2 | Cracking | (i) Age | 1.191 | 25.352 | 3.961 × 10−49 | 1.600 | (ii) MSN | −1.783 | −3.489 | 0.000 | 1.187 | (iii) CVPD | 0.260 | 2.482 | 0.015 | 1.444 |
| 3 | Potholes | (i) Age | 1.403 | 19.334 | 4.401 × 10−38 | 1.600 | (ii) MSN | −2.819 | −3.571 | 0.000 | 1.187 | (iii) CVPD | 0.592 | 3.652 | 0.000 | 1.444 |
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