3
votes
Accepted
My dataset includes multiple variable and all of these variables have sub-variables. How to visualise & test which segment is significant?
If you want to identify which issues and sub-issues tend to co-occur in your dataset, multiple correspondance analysis may be an adequate tool here, for exploratory purposes. Treating "No" ...
- 3,208
3
votes
Accepted
Transforming data with a fitted distribution function
I cannot add a comment, so I'm writing it in an answer.
Am I wrong to expect the transformed data to be uniform or could there be something else going wrong?
It is the marginal CDF, which is assumed ...
- 66
1
vote
Accepted
How to model a standardized index in a regression?
With one caveat, there's no problem doing anything you would do with a regular variable to an index. After all, some 'regular' variables are indexes to start with. So as @patrick-coulombe notes, it'll ...
- 20.5k
1
vote
Accepted
Should I orthogonalize variables before regression?
Orthogonalization of predictor variables can be used to handle multicollinearity in linear regression models, but it should be done with an understanding of its implications on interpretation. ...
- 56.9k
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