Regression Based on Examining Population Forecast Accuracy
A Poongodai1, R Suhasini2, R Muthukumar3

1A Poongodai, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
2R Suhasini, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
3R Muthukumar, ICFAI University, Hyderabad (Telangana), India.
Manuscript received on 05 June 2019 | Revised Manuscript received on 30 June 2019 | Manuscript Published on 04 July 2019 | PP: 690-692 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A11270681S419/2019©BEIESP
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Abstract: India is the World’s second largest populated country after China. The population of India is around 15% of the world while its geographical area is just 2.4 percent of the world. Slowing down population growth and improving population quality are the key factor in improving India’s economic development. For this, population forecasting plays an important role. Population forecasting is widely used for planning and budgeting. Hence, there is need of accurate forecasting. This study investigates the population forecast accuracy by using regression models. It also examines the effect of growth rate and population size on the forecast errors.
Keywords: Population Forecast, Forecast Accuracy, Population Size, Growth Rate, Regression, Forecast Error, Precision and Bias.
Scope of the Article: Regression and Prediction