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# What is Regression Analysis

A statistical tool for estimating the relationships between variables.
Published in Chapter:
GIS, Spatial Analysis, and Modeling: The Case of Breast Cancer Incidence in the US
DOI: 10.4018/978-1-5225-0920-2.ch002
Abstract
Breast cancer is a major health issue in all countries affecting thousands of women. Its causes are unknown and the national and international strategies to reduce its morbidity and mortality levels are based on early detection of cancer through screening and treatment according to clinical guidelines. Thus, knowledge of which women are at risk and why they are at risk is therefore essential component of disease prevention and screening. In 2015, an estimated 231,840 new cases of invasive breast cancer are expected to be diagnosed in women in the United States, along with 60,290 new cases of non-invasive (in situ) breast cancer. The purpose of this study is to provide a more detailed analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using Geographic Information System (GIS). Further, it gives background information to the GIS and its applications in health-related research.
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As a term is related to determining the mutual relations between two or more phenomena. For example, we may be interested in the relationship between the time spent preparing for the exam and the grade obtained on the exam, employees' salaries and their education, interest rates and money supply. In order to determine whether and to what extent these phenomena are dependent, we make regressions model. Regression analysis has a wide application in predicting and forecasting phenomena in various fields, such as economics, medicine, psychology, history.
Helps us to understand how the dependent variable evolves when one of the independent variables varies, as a result allowing the mathematical determination of the variables that have a greater impact on the dependent variable.
Is a statistical study of the effect of one or several independent variables on a dependent variable.
It is a statistical process for denoting the average relationship between two or more factors with the involvement of dependent and independent variables.
A technique where, using a dataset containing data on past finished projects, an Equation is generated, representing the relationship between size, cost drivers, and effort. Such Equation is generated using a procedure that determines the “best” straight-line fit to a set of project data that represents the relationship between effort and size & cost drivers
It is a statistical tool for estimating the relationships between variables.
A statistical technique used to explore relationship among two or more variables. In data mining, regression analysis is used for predicting numeric values.
A regression analysis is a statistical process for estimating the relationships among variables.
Is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables when the focus is on the relationship between a dependent variable and one or more independent variables (predictors).
A statistical technique used to find relationships between variables for the purpose of predicting future variables.
A statistical technique for estimating relationships among variables. The technique is used to understand which among the independent variables are related to the dependent variable. The technique is effective in developing a framework.
Is a statistical technique that helps in determining the relationship between a single dependent variable (response) and one or more independent variables (influencing factors).
the statistical tecniques used to investigate the relationships among a group of variables and to create models able to describe them.
It is a technique that examines the relation of a dependent variable to specified independent variables.
Regression Analysis is a set of statistical methods used in the estimation of relationship between a dependent variable and one or more independent variables of a research/analysis.
It is a statistical tool for estimating the relationships between variables.
A mathematical process of building a model based upon a set of data and identification of the variables.
A statistical technique used to model the relationship between a dependent variable and one or more independent variables.