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What is Regression

Chapter 11
Managerial Perspectives on Intelligent Big Data Analytics
It is a statistical measure used to determine the strength of the relationship between one dependent variable and a series of other changing variables.
Published in Chapter:
Analysis of Cutting-Edge Regression Algorithms Used for Data Analysis
Indivar Mishra (KIIT University, India), Ritwik Bandyopadhyay (KIIT University, India), Sourish Ghosh (KIIT University, India), and Aleena Swetapadma (KIIT University, India)
Copyright: © 2019 |Pages: 15
DOI: 10.4018/978-1-5225-7277-0.ch011
Abstract
Considering the growing applications of big data analytics in the various fields such as healthcare, finance, e-commerce, and web services, it is essential to continuously develop techniques useful for big data. Among various techniques used for big data analytics, regression analysis is very important. In this chapter, an attempt is made to take a detailed look into some of the main regression algorithms and their origin that are used for big data analytics. In this study, some of very famous works related to regression along with some latest research are analyzed. Regression is the process of deducing a predictive model for real-world information based on verified information that is already received. It is used for making predictions, optimizing solutions to complex problems, and understands trends in large and big data analytics. The goal of this study is to promote and facilitate a better understanding of regression algorithms that are in use in the real world for big data analytics.
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Chapter 235
Affect Awareness Support and Communication Technologies in Education
It is a statistical term concerning the analysis of relationship between different variables. Sensor: It is usually an electronic device taking a physical quantity as input and outputs an electronic signal which can be estimated and classified by human applications.
Published in Chapter: Affect Awareness Support and Communication Technologies in Education; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 8
Clustering and Regression Analysis on COVID-19 in India Using Python
Regression analysis is a set of statistical processes for estimating the relationships between a dependent variable and one or more independent variables.
Published in Chapter: Clustering and Regression Analysis on COVID-19 in India Using Python; From: AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management
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Chapter 19
Future Expectations About Big Data Analytics
It is a method used in machine learning to predict the relationship between independent and dependent variables.
Published in Chapter: Future Expectations About Big Data Analytics; From: Big Data Analytics Techniques for Market Intelligence
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Chapter 12
Effects of Economic and Political Risks on Foreign Direct Investment: A Panel Data Analysis in MENA Region
A technique for determining the statistical relationship between two or more variables where a change in a dependent variable is associated with, and depends on, a change in one or more independent variables.
Published in Chapter: Effects of Economic and Political Risks on Foreign Direct Investment: A Panel Data Analysis in MENA Region; From: Regional Trade and Development Strategies in the Era of Globalization
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Chapter 176
Measuring the Effects of Data Mining on Inference
Fitting a model y = f ( x 1 , x 2 , …, x p ) + error relating the p predictors x 1 , x 2 , …, x p to the response y . If the function f is linear in the parameters, such as then the regression is a linear regression (even though it is not linear in the predictors x 1 and x 2 ).
Published in Chapter: Measuring the Effects of Data Mining on Inference; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 3
From Tf-Idf to Learning-to-Rank: An Overview
A supervised learning task where the ground truth labels are real numbers.
Published in Chapter: From Tf-Idf to Learning-to-Rank: An Overview; From: Handbook of Research on Innovations in Information Retrieval, Analysis, and Management
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Chapter 16
Computational Approach for Personality Detection on Attributes: An IoT-MMBD-Enabled Environment
A technique for determining the statistical relationship between two or more variables where a change in a dependent variable is associated with, and depends on, a change in one or more independent variables.
Published in Chapter: Computational Approach for Personality Detection on Attributes: An IoT-MMBD-Enabled Environment; From: Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering
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Chapter 6
An Analysis of Gender Inequality in Professional Tennis: A Study of the Cozening Sport
A measure of the relationship between the mean value of one variable (e.g., output) and corresponding values of other variables.
Published in Chapter: An Analysis of Gender Inequality in Professional Tennis: A Study of the Cozening Sport; From: Applied Econometric Analysis: Emerging Research and Opportunities
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Chapter 6
What Factors Influence the Use of Electronic Commerce?: A Case in Turkey
The most appropriate relationship between dependent variable(s) (Y) and independent variable(s) (X) is expressed as a mathematical function.
Published in Chapter: What Factors Influence the Use of Electronic Commerce?: A Case in Turkey; From: Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making
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Chapter 11
From Analysis to Estimation of User Behavior
Regression is an approach that generates a model characterizing the relationship between independent and dependent factors of a system from sample data representing a certain observable fact.
Published in Chapter: From Analysis to Estimation of User Behavior; From: Handbook of Research on Web Log Analysis
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Chapter 59
Data Mining Tools: Association Rules
Process to statistically estimate the relationship between different attributes.
Published in Chapter: Data Mining Tools: Association Rules; From: Encyclopedia of Business Analytics and Optimization
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Chapter 9
Data-Driven Genetic Programming-Based Symbolic Regression Metamodels for EDM Process
It is a statistical approach to express the process response as a function of the process parameters.
Published in Chapter: Data-Driven Genetic Programming-Based Symbolic Regression Metamodels for EDM Process; From: Data-Driven Optimization of Manufacturing Processes
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Chapter 10
Machine Learning-Based Predictive Modelling of Dry Electric Discharge Machining Process
It is a statistical approach to express the process response as a function of the process parameters.
Published in Chapter: Machine Learning-Based Predictive Modelling of Dry Electric Discharge Machining Process; From: Data-Driven Optimization of Manufacturing Processes
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Chapter 13
More Than a Thousand Words!: Emoji Engagement on Turkish Airline Instagram Pages
A quantitative analysis that investigates the relationship between dependent and independent variables in data sets.
Published in Chapter: More Than a Thousand Words!: Emoji Engagement on Turkish Airline Instagram Pages; From: Cases on Developing Effective Research Plans for Communications and Information Science
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Chapter 14
House Rent Prediction Using Ensemble-Based Regression With Real-Time Data
It is a supervised machine learning technique which is used to predict continuous values. Loss function is being calculated using Gradient Descent Algorithm.
Published in Chapter: House Rent Prediction Using Ensemble-Based Regression With Real-Time Data; From: Novel Research and Development Approaches in Heterogeneous Systems and Algorithms
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Chapter 264
Return on Investment in Training
A statistical technique that allows you to determine the mathematical relationship between one or more independent variables and a dependent variable. For example, given that car accidents increase in bad weather and on weekends and that bad weather tends to be more common on weekends, regression allows you to isolate the effect of accidents due to weekends alone.
Published in Chapter: Return on Investment in Training; From: Encyclopedia of Distance Learning, Second Edition
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Chapter 27
Predictive Modelling for Future Technology Development
Regression analysis is a statistical method that helps in analysing and understanding the relationship between two or more variables of interest.
Published in Chapter: Predictive Modelling for Future Technology Development; From: Handbook of Research on Future Opportunities for Technology Management Education
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Chapter 13
Value Analysis and Prediction Through Machine Learning Techniques for Popular Basketball Brands
A statistical method used in finance, investing, and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables) (Beers, 2021).
Published in Chapter: Value Analysis and Prediction Through Machine Learning Techniques for Popular Basketball Brands; From: Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
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Chapter 2
Machine Learning and Optimization Applications for Soft Robotics
Regression is another supervised learning task that discovers correlations between data features and predicts continuous-valued target output based on the historical data.
Published in Chapter: Machine Learning and Optimization Applications for Soft Robotics; From: Design and Control Advances in Robotics
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Chapter 8
Autonomous Navigation of Rovers Using ML and DL Techniques
Itmodels the behavior of a quantitative variable (the target variable) based on various predictor variables (components or characteristics) that might be quantitative or qualitative.
Published in Chapter: Autonomous Navigation of Rovers Using ML and DL Techniques; From: AI-Enabled Social Robotics in Human Care Services
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Chapter 4
Predicting Equity Returns in Developed Markets
A statistical process for determining the relation between one dependent variable and various other variables (also known as independent variables).
Published in Chapter: Predicting Equity Returns in Developed Markets; From: Recent Applications of Financial Risk Modelling and Portfolio Management
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Chapter 12
A Survey on Recent Recommendation Systems for the Tourism Industry
To comprehend which among the autonomous factors are related to the reliant factors, and regression analysis is used to investigate the forms of these connections. For instance, by utilizing a relapse (regression) model conceivable to predict kids' tallness, given their age, weight and different elements.
Published in Chapter: A Survey on Recent Recommendation Systems for the Tourism Industry; From: Accelerating Knowledge Sharing, Creativity, and Innovation Through Business Tourism
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Chapter 1
(A)Esthetics and Violence Psychology: “Individual and Object”
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Chapter 6
Techniques and Methods That Help to Make Big Data the Simplest Recipe for Success
Regression analysis 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).
Published in Chapter: Techniques and Methods That Help to Make Big Data the Simplest Recipe for Success; From: Big Data Analytics for Entrepreneurial Success
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Chapter 14
Classification in GIS Using Support Vector Machines
The task of learning a target function that maps one or more input attributes to a single numeric attribute.
Published in Chapter: Classification in GIS Using Support Vector Machines; From: Handbook of Research on Geoinformatics
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Chapter 1
Convergence Analysis of Households' Consumption Expenditure: A Cross Country Study
It is a method of projection of a dependent variable for a specific value of an independent variable. If y is dependent and x is independent variables with y* and x* as their mean values then the equation (y-y*) = b yx (x-x*) is called Regression Equation of y on x, where b yx is known as regression coefficient determined by variances of y and x and correlation coefficient. On the other hand the regression equation of x on y will be (x-x*) = b xy (y-y*), where b xy stands for the regression coefficient of x on y.
Published in Chapter: Convergence Analysis of Households' Consumption Expenditure: A Cross Country Study; From: Handbook of Research on Global Indicators of Economic and Political Convergence
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Chapter 8
Development, Monitoring, and Management Approaches of Machine Learning Implementations for the Effective Delivery of Government Services
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Chapter 16
Machine Learning-Based Arrhythmia Classification: A Comprehensive Review
It is a technique for figuring out how independent variables or features relate to a dependent variable.
Published in Chapter: Machine Learning-Based Arrhythmia Classification: A Comprehensive Review; From: Integrating Digital Health Strategies for Effective Administration
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Chapter 3
Convergence Aspect of Capital Formation: A Study on Major Countries
It is a method of projection or forecasting of a dependent variable (say Y) for a specific value of an independent variable (say X). If the dependent and independent variables are set with y* and x* as their respective mean values then the equation (y-y*) = b yx (x-x*) is called Regression Equation of Y on X, where b yx is known as regression coefficient determined by variances of Y and X and correlation coefficient. On the other hand the regression equation of X on Y will be (x-x*) = b xy (y-y*), where b xy stands for the regression coefficient of X on Y.
Published in Chapter: Convergence Aspect of Capital Formation: A Study on Major Countries; From: Handbook of Research on Global Indicators of Economic and Political Convergence
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Chapter 9
Smart System and Services Using Artificial Intelligence and Machine Learning Algorithms: Sky of AI
The statistical link between a dependent variable and one or more independent variables can be ascertained using regression. The independent variable's change is connected to the independent variables' change.
Published in Chapter: Smart System and Services Using Artificial Intelligence and Machine Learning Algorithms: Sky of AI; From: Applying Drone Technologies and Robotics for Agricultural Sustainability
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Chapter 4
Big Data Analytics: Educational Data Classification Using Hadoop-Inspired MapReduce Framework
Regression is the statistical analysis technique used to examine the relationship between one dependent and one independent variable. The regression performs the prediction of the dependent variable when the independent variable is known.
Published in Chapter: Big Data Analytics: Educational Data Classification Using Hadoop-Inspired MapReduce Framework; From: Predictive Intelligence Using Big Data and the Internet of Things
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Chapter 5
Variable Selection in Multiple Linear Regression Using a Genetic Algorithm
A set of methods that model one or more variables to be explained, usually numerical, by means of a set of explanatory variables, also usually numerical.
Published in Chapter: Variable Selection in Multiple Linear Regression Using a Genetic Algorithm; From: Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics
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Chapter 2
Prediction of The Uniaxial Compressive Strength of Rocks Materials
In statistical modeling, regression analysis is a statistical process for predicting 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.
Published in Chapter: Prediction of The Uniaxial Compressive Strength of Rocks Materials; From: Handbook of Research on Trends and Digital Advances in Engineering Geology
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