24Table 4.3: Model Summary for Profitability with the predictor variables Model SummaryModel R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .890a.793 .753 25088.057 2.191 a. Predictors: (Constant), Loan asset ratio, Deposit Ratio (DR), Liquidity Asset Ratio, Loan b. Dependent Variable: Profit (Net Income) Source: Research Findings The adjusted R2, also called the coefficient of multiple determinations, is the percentage of the variance in the dependent variable explained uniquely or jointly by the independent variables (Loan asset ratio, Deposit ratio, liquidity asset ratio and the Loan level) and is 89 %. This means that 89 % of the changes in the banks’ profitability will be explained by the changes in the independent variables and control variables in the model. The remaining 11% of the changes in the profits is explained by other factors not in the model. With the Durbin-Watson factor of 2.191 which is less than 2.5, it means that there is no autocorrelation in the independent variables and it can be concluded that there independent variables do not depend on each other. 4.3.2 Test of Multicollinearity: Pearson and Spearman's Correlations Table 4.4 below shows the Pearson and Spearman’s correlation coefficient generated from the data. Consistent with Shin and Soenen (1998), the spearman's rank correlation coefficients are on the upper right triangle while the Pearson product moment correlation coefficients are on the lower left triangle. Pearson’s Correlation analysis is used for data to see the relationship between variables such as those between independent variables and profitability of the bank.