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The Effect of World Happiness Aspects with COVID-19 Infected using Machine Learning Multiple Regression Model

An outbreak of pneumonia was found in China in December 2019, known to be caused by a virus called COVID-19. Since then, the virus has spread all over the world causing countries to lock their borders to prevent the spread of infections. There is no known medicine for COVID-19 and other corona virus. The objective of this paper is to reveal whether five aspects of world happiness that was obtained from https://worldhappiness.report which are Freedom to make life choices, Social support, Healthy life expectancy, Logged GDP per capita and Ladder score have effect on the number COVID-19 infected cases where the dataset is taken from COVID-19 World Dataset from www.kaggle.com. Using Multiple Regression as the model, the result shows that the predicted and actual infected cases are similar and hence there are no effect between COVID-19 and those five aspects.