Open AccessA Regression Analysis on the Covid-19 Transmission
Author(s) -
Gregory L. Light
Publication year - 2020
Publication title -
global journal of science frontier research
Language(s) - English
Resource type - Journals
eISSN - 2249-4626
pISSN - 0975-5896
DOI - 10.34257/gjsfrfvol20is3pg1
Subject(s) - covid-19 , normality , regression , statistics , regression analysis , transmission (telecommunications) , mathematics , econometrics , medicine , virology , computer science , disease , telecommunications , outbreak , infectious disease (medical specialty)
This note applies least-squares regression to a cross-section comparison of the total infection numbers of COVID-19 as of a particular date among the fifty states of America to investigate any underlying factors; we also check the Gaussian normality of the time progression of the infection rate.