Regression is a fundamental statistical method used in data science to model the relationship between one or more independent variables (also known as predictors) and a dependent variable (also known as the response or outcome variable). Its goal is to identify and quantify the relationships between variables and use them to make predictions about future observations.
Regression is most likely to appear on Data Scientist job descriptions where we found it mentioned 18.3 percent of the time.