MULTIPLE LINEAR REGRESSION OF AGE AND GENDER ON STUDENTS ACADEMIC PERFORMANCE IN FEDERAL POLYTECHNIC BAUCHI STATE
Abstract
This study examined the effect of age and gender on students’ academic performance. The research adopted a survey design and collected data from students, which were analyzed using multiple regression analysis. The results revealed that age and gender together explained only 1.1% of the variation in academic performance, with the regression model not statistically significant (2,467) = 2.692, p = 0.069. The coefficients indicated that age had a slight positive but non-significant effect (p = 0638). while gender had a negative but non-significant effect (p = 262). These findings suggest that students’ performance is not significantly influenced by age or gender but rather by other factors such as motivation, socio-economic background, study habits, and availability of learning resources. The study recommends that educators and policymakers focus on improving teaching methods, learning resources, and supportive environments instead of demographic characteristics
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