alawee, Z., Jameel, M., mohawmed, A. (2023). Fuzzy linear regression analysis of (19-COVID) infection rate and laboratory testing based on Statistical relationships. , 19(3), 666-675. doi: 10.33899/berj.2023.180673
zeiad yahya ali yahya alawee; Marwan Jameel; Aiad younis mohawmed. "Fuzzy linear regression analysis of (19-COVID) infection rate and laboratory testing based on Statistical relationships". , 19, 3, 2023, 666-675. doi: 10.33899/berj.2023.180673
alawee, Z., Jameel, M., mohawmed, A. (2023). 'Fuzzy linear regression analysis of (19-COVID) infection rate and laboratory testing based on Statistical relationships', , 19(3), pp. 666-675. doi: 10.33899/berj.2023.180673
alawee, Z., Jameel, M., mohawmed, A. Fuzzy linear regression analysis of (19-COVID) infection rate and laboratory testing based on Statistical relationships. , 2023; 19(3): 666-675. doi: 10.33899/berj.2023.180673
Fuzzy linear regression analysis of (19-COVID) infection rate and laboratory testing based on Statistical relationships
1فرع العلوم الریاضیة /کلیة التربیة البدنیة وعلوم الریاضة /جامعة الموصل/ وزارة التعلیم العالی والبحث العلمی
2University of Mosul, Department of Environmental Technology, Mosul, Iraq
3University of Mosul, College of physical education and sport sciences, Mosul, Iraq
Abstract
The statistical association between infection rate and laboratory tests over several days over 45 days in several Iraqi cities was demonstrated by applying fuzzy linear regression. In accordance with this issue, we investigated the association between these factors using a statistical technique based on correlation analysis and regression. We collected data from the Iraqi Ministry of Health and Environment and published in the Iraqi Al-Sabah newspaper. The data relative error (RE) was estimated, and then the results were represented by a scatter plot to illustrate the relationship between the two measures. In addition, the corresponding Pearson diagram (CC) is calculated. The statistical association between infection rate and laboratory tests over several days over 45 days in several Iraqi cities was demonstrated by applying fuzzy linear regression. In accordance with this issue, we investigated the association between these factors using a statistical technique based on correlation analysis and regression. We collected data from the Iraqi Ministry of Health and Environment and published in the Iraqi Al-Sabah newspaper. The data relative error (RE) was estimated, and then the results were represented by a scatter plot to illustrate the relationship between the two measures. In addition, the corresponding Pearson diagram (CC) is calculated.