I wish to run a linear regression model, with a dependent variable Y and several explanatory variables.
The distribution of Y looks like this:
Clearly not normally distributed. The sample size is about 40 observations.
In this problem I wish to use SPSS, and I didn't find an option for robust regression. This leads me to bootstrapping.
Can I use linear regression with bootstrapping when I have skewed data like this, with an outlier? Do you have other suggestions for modeling this kind of data?
Any tips will be most appreciated ! Thank you !