01 January 1970 0 10K Report

I have 215 samples, and there are 9 independent variables. I want to know which independent variables could better predict the DV. However, the 9 IVs are highly correlated with each other, so I don't think I can use multiple regression model and compare the standardized Beta (some of the VIFs is close to 20, in addition, the assumption of normality of residual is violated). I wonder if I can do the bivariate correlation and compare each correlation coefficient (the assumption of normality is violated, so I used the Spearman to test the bivariate correlation between DV and each IV)? Do I have to transform the Spearman's rho into fisher Z, or I can directly compare the Spearman's rho?

Thank you so much for giving me any advices!

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