A Study on a Research and Development Cost-Estimation Model in Korea

In this study, we analyzed the factors that affect research funds using linear regression analysis to increase the effectiveness of investments in national research projects. We collected 7,916 items of data on research projects that were in the process of being finished or were completed between 2010 and 2011. Data pre-processing and visualization were performed to derive statistically significant results. We identified factors that affected funding using analysis of fit distributions and estimated increasing or decreasing tendencies based on these factors.

• Babakina Alexandra
• Yong Soo Kim

• R&D funding
• Cost estimation
• Linear regression
• Preliminary feasibility study.

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