On visual inspection of P-P plots, my time data appears to fit a Weibull distribution better than a normal distribution. I will use the variable for correlations and as a predictor in regression. In SPSS, I could fit the data to a Weibull regression model. I have also read that you can Vincentize the data, but I am unfamiliar with this technique. However, for the correlation analysis:
1) Would I need to transform the data?
2) If so, how do I transform data from a Weibull to an approximate normal distribution?