A Regression Analysis on the Flow of EMU Library USERS

This paper highlights the importance of statistics in everyday life in this 21st century. Statistics which is based on collecting, managing, processing and disseminating information, it applications are seen in Banks, Airports, information technology and schools. This research presents a simple linear regression model, its derivation and how it is used to analyse data’s obtained from the school library. The data’s which defines the average population of students who use the library yearly. The model obtained is used to predict future use of the library by students, as well as an estimate of students that used the library before 2007. A statistical software application, called SPSS was used in the analysis. The result obtained from this research shows about 33% of data can be analyze which makes our model somewhat a good fit for the data; however a non-linear model would be best to describe the library data. Keywords: linear regression models, Sample data, correlation coefficient, influential point, SPSS.