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
Saving F stat after RegressionHi All, I have data that resembles the following: Code: * Example generated by -dataex-. To in…
State Panel data - generating a year treatment variable with a month component?I have annual state panel data. Each state implemented a state reform at different times (year). I h…
Calcule Overlap between two variablesI need to calculate the overlap of two variables (time series). I saw that in R, the command is "cal…
Sample size for cox proportional hazards model with multiple covariatesThis is my first time using power cox, and I would like confirmation of my code. HTML Code: power…
Deciding between RE and FEI have a theoretical question concerning usage of the FE model for panel data regression. I'm curre…
Subscribe to:
Post Comments (Atom)
0 Response to back transform square-root linear regression
Post a Comment