With the obtained data, they performed the Nonlinear-Least-Squares regression to explore the relationship between temperature and the spread of COVID-19. As the results demonstrated, there is an inverse relationship between the independent variable(temperature) and the dependent variable (case per million). However, the result won't be significant until 164.8 days after the beginning of the pandemic.