Breast cancer is the most commonly diagnosed cancer in women worldwide[1]. The objective of this article is to present the usefulness of functional data anal- ysis(FDA) techniques in the investigation of breast cancer incidences rates over time. It also highlights the usefulness of R- packages/ libraries in computing various tasks or commands. In analyzing the data we collected (Breast cancer incidences in males, females and both), we employed the method of simple lin- ear regression to explain the relationship between the year and the number of incidences of each of the groups; females, males and both. This method allows for future forecasting of the incidence rates. We noticed that Breast cancer incidence rates were more in females than in males in every age group and in every single year. The article does not solve the problem of the causes of Breast Cancer and the necessary remedies.