Abstract
Abstract Regression models are important tools in estimating the effect relationships between the dependent variable and a set of independent variables. To estimate the parameters of the studied model, there are various estimation methods Bayesian and non-Bayesian are will used . The obesity affected with many independent variables some these variables have direct effecting and non- direct, therefor choosing optimal variables that effecting in our model considered give us high explanatory power for the studied phenomenon, in this variable there are subset variables effecting on obesity via many different quantiles level.
