Significance Test for Final Model 2
87 Table 21. Likelihood Ratio Test of the Final Model 2
nd
Scenario
Model Fitting Information
53960.379 41825.856
12134.524 125
.000 Model
Intercept Only Final
-2 Log Likelihood
Model Fitting
Criteria Chi-Square
df Sig.
Likelihood Ratio Tests
Table 22. Pseudo R-Square Statistics 2
nd
Scenario
Pseudo R-Square
.703 .706
.225 Cox and Snell
Nagelkerke McFadden
Furthermore, the pseudo r-squared statistics, either Cox and Snell or Nagelkerke, indicate that the variability of land use change in Siak District can be
explained more than 70 by the observed variables, whereas according to McFadden, it is only 22.5. However, in general the pseudo r-squared statistics
that have been produced shows that most of variability in land use change happen in Siak District could be explained by the final model which was developed by
using the observed variables in the research site. The two tests for final model which have been conducted above indicate
that the final model of land use change in Siak District which has been developed by considering the observed variables in MLR model is a good model that can
explain most of the variability of land use change in the research site. The observed variables that have been determined can be concluded as driving factors
of land use transitions in Siak District.