I've been working on my thesis and potentially I have to do a regression model, with dependent variable as a ratio in the range [0-600+]. About 50%+ are 0 values though, 40%+ values [0-5], and a very small percentage of the values are higher than 5, so the picture is quite skewed.

I' ve been wondering what kind of transformation I need to do in order to linearize the model- and is the LN tranformation appropriate in that case?

I've been thinking about a regression model with dependent variable a ratio in the range [0-600+]. About 50%+ are 0 values though, 40%+ values [0-5], and a very small percentage of the values are higher than 5, so the picture is quite skewed.

I've been wondering what kind of transformation I need to do in order to linearize the model. Is the natural log transformation appropriate?