The World Bank Group has understood the importance of education in Global scenario and its effect on economic growth. As per the group the Global education inequity can be eradicated by a two prong approach; education policies and regulations at national level and high quality knowledge base at Global level. In order to achieve the goal, World Bank Group has initiated a strategy called Systems Approach for Better Education Results (SABER) [1]. NGOs in education field are doing a yeoman’s job in providing quality education to the low income groups thereby bringing in educational equity in the world (both developing and developed countries). One of such largest initiative is “Teach for all”. The paper is a case study on low penetration of volunteers into certain key levers/ segments of an educational NGO of a developing country. The strategy and methodology is applicable to any “Teach for all” NGOs across the world. This gives a methodology to optimize force level in key levers of any educational institute which would like to follow the World Bank’s SABER framework to ensure bring in successful educational strategy. The paper has not only discussed the optimal distribution of force level using linear regression predictive method but also pointed out the potential risks and opportunities.
Keywords: Linear Regression Analysis, SABER framework, educational equity, predictive analysis, world bank
