Using Regression Model to Study the Significant Differences in the Number of Covid-19 Infections

Abstract

Multiple linear regression modeling was used to analyze Covid-19 data, which represents the number of infections in Iraq for the year 2019, in order to find occupational discrepancies between the dependent variable (age) and the independent factors under discussion. This was carried out in addition to the correlation value. Following statistical analysis, a significant correlation was discovered between the independent factors and the dependent variable, age. The age dependent variable and the research's independent variables are evidently different from one another in a substantial degree, as indicated by the analysis of variance table. This is in addition to comparing the number of infections between boys and females for each of the study's variables (blood pressure, oxygen rate, sugar rate, and D-Dimer), and we discovered that there are no appreciable variations in the quantity of infections between males and females based on the factorial experiment analysis.