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This work centered on logistics regression on consumption of rice using Offa, Kwara State, Nigeria as a case study, it aimed to establish a model that can use to predict Age, Income, Expenditure and frequency of locally and imported produced rice and determine the best model among the variables of the outcome. Backward elimination method were also employ to check the best model. The variable with the lowest difference among the non significant variable (i.e. change in -2LL) shows the model that are significant, at the end of the analysis it can be concluded that the best model is the one with age since it is not dropped from the model.