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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.
Gregory L Light. 2020. \u201cA Regression Analysis on the Covid-19 Transmission\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 20 (GJSFR Volume 20 Issue F3): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 131
Country: United States
Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision
Authors: Gregory L. Light (PhD/Dr. count: 0)
View Count (all-time): 138
Total Views (Real + Logic): 2368
Total Downloads (simulated): 1153
Publish Date: 2020 05, Tue
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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.
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