I am conducting multiple regression for a meta analysis, with the dependent y variable being a range of values ($/ha/year) extracted from studies, and the x variables being a range of geographical and methodological variables. Both the y variable and Area (ha) had a poor distribution with a huge range. Collinear variables were identified and removed.

After running a successful model, I had some huge influential outliers (these were established with Leverage charts, and Bonferonni number of <1). I tried removing these to see the effect it had, and more have simply taken their place. I have attempting log and square transformations of the troublesome variables but to no avail. I wouldn't say the data looks non-linear from the plots. I've attached the plots to help. Sorry if this is poorly worded etc. I can provide further info if needed. Could anyone let me know the next step?

Thank you in advance.