Abstract: This paper examined logistic regression for describing the relationship between an indications of suffering from complications pulmonary tuberculosis and its associated risk factors (predictors). Logistic regression was used as a tool to see the performance on tuberculosis data. The data used for this paper was collected from the Records Department of Federal Medical Centre, Ido Ekiti, Ekiti State, Nigeria, between the period of 2010 to 2011. At the end of the analysis, the estimated function revealed that complications of pulmonary tuberculosis were positively associated with social history of the patients , previous exposure to tuberculosis infection but negatively associated with age, nature of occupation. Also, the absence of complications of pulmonary tuberculosis was influenced by the presence of malaria fever.