Analisis Faktor Resiko Penyakit Radang Paru-paru Dengan Metode Regresi Logistik

Abstract

Logistic regression is a special form of regression analysis with the dependent variable and the independent variables are categories are categories, continuous, or a combination of both. This paper analyzed the risk factors for pneumococcal disease in which the dependent variable is the category that is stricken with pneumonia or not. The independent variables were gender, age and cigarette consumption. From the analysis of the data shows that the independent variables have a significant effect on the form of regression models of this study is the variable age with a significance value of 0.032 with a regression coefficient of 0.030 and cigarette consumption with a significance value of 0.000 and a regression coefficient of 1.881. The accuracy rate of 72.9% means that the model regression model that can describe the relationship already established the independent variable on the dependent variable