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
Performing chi squared with one variable against a group of variables individuallyI've done a ton of looking around, and I've likely just not got the right key words, but my goal is …
Heteroskedasticity or other problem with regression?Hello everyone, so I run a pooled OLS regression on panel data of log real monthly wage on education…
ANOVA REPEATE MEASURES - HOW TO INTERPRET CONTRADICTORY RESULTS BETWEEN ANOVA AND MULTIPLE PAIRWISE COMPARISONS (post hoc)?Good mornig to everybody. 1)HOW TO INTERPRET CONTRADICTORY RESULTS BETWEEN ANOVA AND MULTIPLE PAIRW…
Xtreg with Demeaned variablesI have a panel dateset and my dependent variable and independent variables are demeaned and standard…
Sum of values of a conditional variableI am new to using Stata, I have always made corrections using already clean bases. I have the variab…
Subscribe to:
Post Comments (Atom)
0 Response to back transform square-root linear regression
Post a Comment