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').
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50 learning opportunities
Online Learning
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Online Learning
Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.
Online Learning
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
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Online Textbooks
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…
Online Learning
Discover linear regression modeling and logistic regression modeling using R. Learn about how to prepare, develop, and finalize models using the forw…
Online Learning
In this course you'll learn how to perform inference using linear models.
Online Learning
Learn to perform linear and logistic regression with multiple explanatory variables.
Online Learning
Learn to perform linear and logistic regression with multiple explanatory variables.