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
Cleaning data of Globar Entrepreneurship MonitorDear All, I am currently dealing with cross-sectional studies derived from the Global Entrepreneurs…
define constraints for baseoutcome in mlogitI want to estimate a mlogit model Code: mlogit depvar ibn.fvar1 othervars there are categories in m…
How do i open one of these .dat files?https://data.nber.org/data/cps_basic.html for example March 2015 how would i open this in Stat? Than…
Sample selection for a panel: struggling with panel bootstrap in the programDear Statalisters, I am using Stata 15.1 and I would like to address the sample selection problem i…
SIR ModelHi everyone!! Is there any way to fit SIR Models in Stata? …
Subscribe to:
Post Comments (Atom)
0 Response to back transform square-root linear regression
Post a Comment