I have a regression equation that uses covariates of the following form
asinh(y) = b0 + b1 asinh(x) + b2 (asinh(x))^2 + error
and am wondering how to intepret the coefficients b1 and b2. Does anybody have an idea?
Is it still right to conjecture about the form of the relationship (concave, convex) by means of the sign on the linear and the quadratic coefficient?
For logarithmic transformation the turning point may be found at
b are the coefficients on the linear and the quadratic term. Is there a similar shortcut for the case of