Abstract
This research paper focuses on the modeling of total cases due to COVID-19 and the critical assessment of socioeconomic impact on India. The data set considered for the present analysis is from December 31, 2019 to May 16, 2020 for training and testing of developed regression model. Least-square approximation of linear regression technique is applied to estimate the total cases of COVID-19. Three variables, viz. daily new cases, total deaths and daily new deaths, were considered for development of correlations. In the present study, seven correlations are developed as a function of single variable, two variables and three variables with accuracy (R2) ranging from 85.71 to 99.95%. The paper also highlights the socioeconomic impact of COVID 19 on different sector, challenges and remedies for improving the GDP of the country.
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