The Correlation between COVID-19 Confirmed and Recovered Cases in China: Simple Regression Linear Model Evidence
Electronic Research Journal of Social Sciences and Humanities, Vol 2: Issue I,2020
9 Pages Posted: 7 Apr 2020
There are 2 versions of this paper
The Correlation between COVID-19 Confirmed and Recovered Cases in China: Simple Regression Linear Model Evidence
Date Written: April 3, 2020
Abstract
The number of cases of the COVID - 19 being reported on a daily basis in China is stabilising however there is no studies have been undertaken to evaluate the correlation between the COVID - 19 Confirmed cases and Recovered cases in China. The contemporary study is undertaken to analyse the correlation between the COVID - 19 Confirmed and Recovered Cases from the period dated 20 January 2020 to 23 February 2020 in China. With that concern the present study employed the Simple regression linear model to evaluate the correlation between the COVID - 19 Confirmed Cases and Recovered cases during the period from dated 20 January to 23 February 2020 in China. Time series data from China daily statistics daily reported cases were used by the study to analyse the significant correlation between the two important variables of the study from dated 20 January to 23 February 2020 for China. To assess the correlation between the COVID - 19 Confirmed and recovered cases the study assumes the COVID - 19 Confirmed cases to be independent variable and the COVID - 19 recovered cases to be a dependent variable of the study. The findings of the study were really interesting. The study findings revealed that there is a significant positive correlation between the COVID - 19 Confirmed cases and Recovered cases during the period from dated 20 January 2020 to 23 February 2020 in China.
Keywords: COVID-19 confirmed cases, COVID-19 recovered cases, and Simple linear regression model
JEL Classification: 100
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