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.