What is regression analysis?

Regression analysis is a mathematical process in statistics that allows you to discover trends in the data you're examining. Regression analysis allows you to determine the relationship between the outcome of a situation and the variables that affect that outcome. You can use regression analysis to sort out the dependent and independent variables that make a larger difference in the outcome and those that don't affect the outcome as much. It also allows you to make educated judgments on which factors to ignore and which factors matter most when it comes to planning and decision making.

Why learn about regression analysis?

It's important to learn about regression analysis because it will help you understand the relationship between outcomes and the factors that determine those outcomes. Regression analysis is a flexible form of analysis that has applications across different disciplines. You can use regression analysis to build a business plan, develop a nutrition and workout regimen, research sociological and psychological issues, or one of many other decisions that you may need to make. Regression analysis allows you to zero in on the variables that factor most into your discipline.

How does regression analysis help my career?

A firm understanding of regression analysis allows you to make better projections and decisions because you're able to see which factors affect an outcome more than others. Regression analysis allows you to understand how different scenarios play out because you know which variables make a difference in your line of work. Because regression analysis works across various disciplines that rely on data, such as finance and investing, you can apply it in a number of different careers, which means it's a concept that serves you well no matter where you work.

How can taking online courses help me learn regression analysis?

Online courses help you develop your knowledge of regression analysis and how to apply it in your career. You can use online courses to help you understand regression analysis if you've never applied it before or if you have a passing familiarity with it. You can learn the basic concepts with online courses, or you can take a more in-depth approach to what regression analysis can do for your business. One of the best things about taking online courses to learn about regression analysis is that you can learn at a pace and on a schedule that works best for you.

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Regression Analysis

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''regression analysis'的 401 个结果

IBM Skills Network
IBM Data Science
您将获得的技能： Algebra, Algorithms, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Entrepreneurship, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Regression, Regression Analysis, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Classification, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science
4.6
（98.4k 条评论）
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
IBM Data Analyst
您将获得的技能： Algebra, Analysis, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, Regression Analysis, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.6
（54.3k 条评论）
Beginner · Professional Certificate · 3-6 Months
University of Pennsylvania
Fundamentals of Quantitative Modeling
您将获得的技能： Leadership and Management, Entrepreneurship, Design and Product, Mathematics, General Statistics, Marketing, Research and Design, Strategy, Probability & Statistics, Strategy and Operations, Probability Distribution, Sales, Market Research, Product Management, Product Marketing, Regression, Linear Regression, Linearity, Analysis, Probability, Modeling, Regression Analysis
4.6
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Mixed · Course · 1-4 Weeks
Duke University
Data Analysis with R
您将获得的技能： Bayesian Statistics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Plot (Graphics), Probability & Statistics, Probability Distribution, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Programming, Statistical Tests
4.7
（6.7k 条评论）
Beginner · Specialization · 3-6 Months
Rice University
Business Statistics and Analysis
您将获得的技能： Basic Descriptive Statistics, Business Analysis, Computer Programming, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Mining, Data Visualization, Econometrics, Experiment, General Statistics, Mathematics, Microsoft Excel, Plot (Graphics), Probability, Probability & Statistics, Probability Distribution, Regression, Regression Analysis, Spreadsheet Software, Statistical Analysis, Statistical Tests, Statistical Visualization
4.7
（11.3k 条评论）
Beginner · Specialization · 3-6 Months
Imperial College London
Statistical Analysis with R for Public Health
您将获得的技能： Bayesian Statistics, Business Analysis, Correlation And Dependence, Data Analysis, Econometrics, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Probability & Statistics, Probability Distribution, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Programming, Statistical Tests
4.7
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Beginner · Specialization · 3-6 Months

与 regression analysis 相关的搜索

regression analysis with yellowbrick

modern regression analysis in r

multiple regression analysis in public health

simple regression analysis in public health

data modeling and regression analysis in business

predictive modeling, model fitting, and regression analysis

building and analyzing linear regression model in r

总之，这是我们最受欢迎的 regression analysis 门课程中的 10 门

Modern Regression Analysis in R: University of Colorado Boulder
Simple Regression Analysis in Public Health: Johns Hopkins University
Multiple Regression Analysis in Public Health: Johns Hopkins University
Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
Regression Analysis with Yellowbrick: Coursera Project Network
IBM Data Science: IBM Skills Network
IBM Data Analyst: IBM Skills Network
Fundamentals of Quantitative Modeling: University of Pennsylvania
Data Analysis with R: Duke University

您可以在 Probability And Statistics 中学到的技能

关于回归分析的常见问题

Regression analysis is a mathematical process in statistics that allows you to discover trends in the data you're examining. Regression analysis allows you to determine the relationship between the outcome of a situation and the variables that affect that outcome. You can use regression analysis to sort out the dependent and independent variables that make a larger difference in the outcome and those that don't affect the outcome as much. It also allows you to make educated judgments on which factors to ignore and which factors matter most when it comes to planning and decision making.‎
It's important to learn about regression analysis because it will help you understand the relationship between outcomes and the factors that determine those outcomes. Regression analysis is a flexible form of analysis that has applications across different disciplines. You can use regression analysis to build a business plan, develop a nutrition and workout regimen, research sociological and psychological issues, or one of many other decisions that you may need to make. Regression analysis allows you to zero in on the variables that factor most into your discipline.‎
A firm understanding of regression analysis allows you to make better projections and decisions because you're able to see which factors affect an outcome more than others. Regression analysis allows you to understand how different scenarios play out because you know which variables make a difference in your line of work. Because regression analysis works across various disciplines that rely on data, such as finance and investing, you can apply it in a number of different careers, which means it's a concept that serves you well no matter where you work.‎
Online courses help you develop your knowledge of regression analysis and how to apply it in your career. You can use online courses to help you understand regression analysis if you've never applied it before or if you have a passing familiarity with it. You can learn the basic concepts with online courses, or you can take a more in-depth approach to what regression analysis can do for your business. One of the best things about taking online courses to learn about regression analysis is that you can learn at a pace and on a schedule that works best for you.‎