Modelling Factors Affecting Academic Performance in Swedish Schools with Multiple Linear Regression

Abstract: This bachelor thesis examines factors affecting the academic performance in Swedish schools. Specifically, the average qualification point among ninth grade students in schools in Stockholm municipality during the academic year 2021-2022 are studied. Multiple linear regression is used to identify individual, social, and school specific factors which have a significant impact on the average qualification point in schools. The purpose is to identify factors affecting the academic performance, and by that contribute to the knowledge base constituting the foundation for the work to improve the academic performance and provide equal opportunities for all students. The Swedish grading system, previous research on factors affecting students' performance, and the Swedish school in a societal perspective are also discussed. The findings indicate that the background of the students, the parents' level of education, and the number of students per teacher are good predictors for academic performance.