Purpose: In this paper, we analyzed the factors that affect research grants using linear regression analysis in order to increase the effectiveness of investments in national research projects. Methods: We collected 15,454 pieces of data on research projects that finished between 2008 and 2010. Data preprocessing and visualization were done to derive statistically significant results. We identified factors that affected funding by using linear regression, and estimated increasing or decreasing tendencies based on those factors. Results: We identified the relative importance of the factors in awarding research grants. Strategies were suggested for the reasonable estimation of R&D budgets for investment purposes. Conclusion: This study will assist the decision-making process of governments in estimating funds required for R&D projects.