Training on Multiple Regression Analysis Using EViews
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Background. The ability to conduct quantitative data analysis is essential for undergraduate students completing their final research projects. However, many economics students continue to struggle with understanding the concepts of multiple regression and with operating econometric software such as EViews. As a result, targeted training that aligns with learners’ needs is required to improve their methodological competence.
Purpose. This study aimed to evaluate the effectiveness of a community service activity in the form of a training program on multiple regression analysis using EViews for final-year economics students. Specifically, it examined students’ initial understanding, learning gains, and their ability to apply regression procedures independently after the training.
Method. The A total of 8 students participated in the training, which included a pre-test, theoretical instruction, software demonstration, hands-on practice, and a post-test. Data were collected through structured assessments and observations, and were analysed descriptively to measure students’ progress.
Results. The findings show that the training significantly improved students’ understanding of regression concepts, their skills in inputting and managing data, and their ability to run and interpret multiple regression analyses in EViews. Participants demonstrated higher confidence and accuracy in performing key analytical steps, including executing t-tests, F-tests, and interpreting R² values.
Conclusion. The program provides evidence that structured and practice-oriented training can effectively enhance students’ quantitative research skills. These findings offer meaningful implications for economics lecturers and academic programs seeking to strengthen students’ readiness for conducting empirical research.
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