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Regression

Regression is a process or method (selected by the data scientist as the best fit technique for the experiment at hand) used for determining the relationships among variables. If you're a programmer, you have a certain understanding of what a variable is, but in statistics, we use the term differently. Variables are determined to be either dependent or independent.

An independent variable (also known as a predictor) is the one that is manipulated by the data scientist in an effort to determine its relationship with a dependent variable. A dependent variable is a variable that the data scientist is measuring.

It is not uncommon to have more than one independent variable in a data science progression or experiment.

More precisely, regression is the process that helps the data scientist comprehend how the typical value of the dependent variable (or criterion variable) changes when any one or more of the independent variables is varied while the other independent variables are held fixed.