Linear Regression Analysis Journal
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Linear regression is used to study the linear relationship between a dependent variable Y (blood pressure) and one or more independent variables X (age, weight, sex). The dependent variable Y must be continuous, while the independent variables may be either continuous (age), binary (sex), or categorical (social status).
Linear Regression and Gradient Descent Method for Electricity Output Power Prediction. (Articles) Yuanliang Liao. Journal of Computer and Communications Vol.7 No.12 ，December 16, 2019. DOI: 10.4236/jcc.2019.712004 440 Downloads 962 Views Citations. Isolated Area Load Forecasting using Linear Regression Analysis: Practical Approach.
This is already the fifth edition of ‘Introduction to Linear Regression Analysis’. With 672 pages, it is a very comprehensive introduction to linear regression analysis, with room for …
Linear regression is an extremely versatile technique that can be used to address a variety of research questions and study aims. Researchers may want to test whether there is evidence for a relationship between a categorical (grouping) variable (eg, treatment group or patient sex) and a quantitative outcome (eg, blood pressure).
Linear Regression Analysis on the Determinants of Hypertension Prevention Behavior Background: Hypertension is a risk factor for cardiovascular events and the highest contributor to death in the world, including Indonesia. 90.08% of health centers in DI Yogyakarta have implemented integrated non-communicable disease (NCD) control.
Regression analysis is a statistical technique for estimating the relationship among variables which have reason and result relation. Main focus of univariate regression is analyse the relationship between a dependent variable and one independent variable and formulates the linear relation equation between dependent and independent variable.
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