Take the 2-minute tour ×
Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. It's 100% free, no registration required.

I'm just wondering if it's possible to analyse and interpret variables that have been transformed using different transformations (eg log and square-root) or if all variables in the analysis have to have been transformed with the same method in order to interpret the results. Thanks, Suzie

share|improve this question
3  
Yes to the first, No to the second. A number of threads on this site with the 'data-transformation' tag should be helpful, e.g., stats.stackexchange.com/questions/18480/… (see Charlie and jthetzel's answers). –  rolando2 Mar 11 '12 at 13:44
add comment

1 Answer 1

Just a simple example to see why data can be transformed in any suitable way for the analysis:

Imagine we want to find out the dependency between the size of a car and its price. For some reason you measure the area (or volume), whereas the effect perhaps can be explained better when looking at the length. Let's assume also that the marginal utility of additional income decreases, hence we would expect a dependency between $\log(income)$ and the length. The only way to capture this correctly is to apply different transformations to the variables.

share|improve this answer
add comment

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.