Hi all,
I have conducted a linear regression where outcome measures were square-root transformed (one of them is measured as a percentage and the other is measured as centimetres squared) to improve the normality of the residuals.
Now, I want to back transform the coefficients relative to a predetermined reference level of 25% for the percentage variable and 140 cm2 for centimetres squared variable. I am not sure how to do this.
Any help with this will be highly appreciated.
Related Posts with back transform square-root linear regression
Missing values in Latent class analysis with gsem in Stata 15 - different results in comparison with R's package poLCAI am using Stata Version 15.0 "gsem" command to get a latent class model fromm a sample with 6860 (i…
Panel dataI hope all is well and stay safe at home. I am a very beginner for STATA. I currently clean adminis…
Dyadic data and clustered standard errorsHello, I have time-series dyadic data and need to run a regression (DV and IVs are absolute differe…
Removing Blue Character ValuesHi, I am struggling at the moment with two -probably basic- issues. 1. I am working on the Italian…
Question related to loop/foreach vvvHi, Using the below sample data, I am trying to obtain the number of values in b1 (id=50_512) that e…
Subscribe to:
Post Comments (Atom)
0 Response to back transform square-root linear regression
Post a Comment