Abstract The focus of this research work is to derive a model that will be used to obtain the adsorption efficiency of an adsorbent for the removal of lead and copper from waste water. To date, the prevalence of adsorption separation remains an aesthetic attention and consideration abroad the nations owning to its low cost, simplicity of design, ease of operation, insensitivity to toxic substances and complete removal of pollutants even from solutions. The data points for this work were collected from literature. Two numerical methods were used in deriving the model, both the multiple regression analysis for data formulation and the Gauss reduction methods for the solutions of the equation. In adsorption procedures, the effects of temperatures, effect of pH, effect of contact time and effect of adsorbent dosage must be available and can be easily implemented into the model equations. Results obtained showed an increase in the adsorption with increasing temperature, contact time, adsorbent dosage and pH. The coefficient of correlation R2 values indicates a very good fitness of the adsorption data signifying the application of the model is suitable for obtaining adsorption efficiency of an adsorbent for the removal of lead and copper in waste water treatment.