Dear all,

I will please like to know how to discuss the result of a regression analysis
e.g.
Ols produces results below

reg education overobesity i.soclass age

Source | SS df MS Number of obs = 706
-------------+---------------------------------- F(6, 699) = 52.62
Model | 818.018761 6 136.33646 Prob > F = 0.0000
Residual | 1811.13846 699 2.59104215 R-squared = 0.3111
-------------+---------------------------------- Adj R-squared = 0.3052
Total | 2629.15722 705 3.72930103 Root MSE = 1.6097

------------------------------------------------------------------------------
education | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
overobesity | -.2752897 .1358245 -2.03 0.043 -.5419626 -.0086168

i know this produces a negatively significant result. My question is how to interpret the effect size (-0.275) to know if they are big or not relative to the mean value of the outcome. How is this calculated?

Lets also assume we get the same result in a probit analysis, how will i also interpret the effect size in regards to the outcome (a binary variable e.g no education (0) and education (1)). I will really appreciate a reply. Many thanks.