Regression
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features').
Job Relevance
Percent of recent job postings including Regression
- 15.6%
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2. Data Analyst4.0%
- 3.6%
- 3.2%
- 1.6%
- 0.4%
Related Training
50 learning opportunities
Online Learning
Bayesian Regression Modeling with rstanarm
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
By Jake Thompson
Online Learning
Correlation and Regression in R
Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.
By Ben Baumer
Online Learning
University of Illinois at Urbana-Champaign
Data Modeling and Regression Analysis in Business
The course will begin with what is familiar to many business managers and those who have taken the first two courses in this specialization. The firs…
Online Learning
Harvard University
Data Science: Linear Regression
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Online Textbooks
Handbook of Regression Modeling in People Analytics
A starting point for a practical learning of regression methods, with the hope that they will see immediate applications to their work and take advan…
By Keith McNulty
Online Learning
Healthcare Analytics: Regression in R
Discover linear regression modeling and logistic regression modeling using R. Learn about how to prepare, develop, and finalize models using the forw…
Online Learning
Inference for Linear Regression in R
In this course you'll learn how to perform inference using linear models.
By Jo Hardin
Online Learning
Intermediate Regression in R
Learn to perform linear and logistic regression with multiple explanatory variables.
By Richie Cotton
Online Learning
Intermediate Regression with statsmodels in Python
Learn to perform linear and logistic regression with multiple explanatory variables.