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Also known as regression analysis. Regression is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing which attempts to determine the strength of the relationship between one dependent variable and a series of other changing variables (known as independent variables). Example: In linear regression the algorithm tries to develop linear hypothesis like: aX + b where a and b are real numbers, by a given Y. So in the terms used above: Y is the variable that the predictor tries to predict, X is the variable that the predictor uses to predict (Y).

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