4. Results
4.1 Multicollinearity Analysis
Multicollinearity analysis is a statistical concept and is generally
carried out to check for correlation between various independent
variables (Nohani et al., 2019; Roy et al., 2019). In this study, a
multicollinearity test was conducted to analyse the correlation between
11 independent landslide causative factors using IBM SPSS Statistics
software. The Variance Inflation Factor (VIF) and tolerance values
obtained from the multicollinearity analysis are shown in Table 2. The
VIF values > 10 or tolerance values < 0.1 suggest
the problem of collinearity among the independent variables. It can be
seen from Table 2. that there is no issue of collinearity among
independent variables as all values of tolerance and VIF were found
satisfactory. Hence all selected landslide causative factors were found
suitable for landslide susceptibility analysis.