A Multiple Linear Regression Model for Analyzing and Predicting Educational Development in Nigeria

Abstract

This paper explores the application of machine learning for
predicting educational development in Nigeria, to determine its
progress or regress in Ondo State. Numerous factors impact the
performance of educational organizations, viz; infrastructure,
learning condition, student ability, the immediacy of teachers,
methods of educating and learning, research centers, grounds areas,
and so forth served as the variable used for the prediction. The data
for the study was obtained from Nigeria Education Digest Statistics
Indicator 2005-2016, Ondo State Demographic Digest Statistics
2009. The study developed a predictive model using multiple linear
regression, which considers the various factors that determines the
progress of education in Nigeria. The result of the evaluation of the
model shows that a somewhat rise in the educational development in
the country, with regards to the feature attributes considered. The
model showed that literacy rate has a higher correlation coefficient
of 0.22.