Regression Data Analysis Approach On COVID-19 Prediction

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Published: Dec 31, 2023
DOI: https://doi.org/10.53555/jaz.v44iS7.3329
Keywords:
Regression analysis, Forecast, COVID-19

Main Article Content

Dr. S. Sathish
Dr. A. Jeeva

Abstract

The Proposed method is to develop the regression models for the observed frequency distribution process and generate expected frequency distribution. This study analyzed the daily COVID 19 cases site, Regression models they are used to estimate daily confirmed, Death and New cases data of per day. The error estimates RMSE, MAE of forecasts from the above models is compared to identify the most suitable approaches for forecasting trend analysis.

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How to Cite
Dr. S. Sathish, & Dr. A. Jeeva. (2023). Regression Data Analysis Approach On COVID-19 Prediction. Journal of Advanced Zoology, 44(S7), 1473–1476. https://doi.org/10.53555/jaz.v44iS7.3329
Issue
Vol. 44 No. S7 (2023)
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

Dr. S. Sathish

School of Mathematics and Statistics, Assistant Professor, MIT World Peace University Pune-38, India-411038

Dr. A. Jeeva

Department of Mathematics, Assistant Professor, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology Chennai, India.

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