if you make a (linear) regression you have to deal with the p value and remove columns with a p<0.05 since the probability of null hypothesis is too likely (http://blog.minitab.com/blog/adventures-in-statistics/how-to-interpret-regression-analysis-results-p-values-and-coefficients). So I use ist this way:
- I do the regression.
- I open the table with the statictics data in the regression node and sort it by the p value.
- I open the regression node and manually remove the columns with a p>0.05.
- I do the regression again and test if some columns now have a p>0.05 and remove ist again.
- If I have finised I can look at the coefficents.
I wish that the regression node would have a property for removing columns with a higher p value automatically.
What do you think? That is a recurring task that is annoying if you play with several column and do it again and again.