Test Run – Linear Regression Using C#

James McCaffrey. MSDN Magazine. 2015-07-01.
The goal of a linear regression problem is to predict the value of a numeric variable based on the values of one or more numeric predictor variables. For example, you might want to predict the annual income of a person based on his education level, years of work experience and sex (male = 0, female = 1).
The variable to predict is usually called the dependent variable. The predictor variables are usually called the independent variables. When there’s just a single predictor variable, the technique is sometimes called simple linear regression. When there are two or more predictor variables, the technique is generally called multiple, or multivariate, linear regression.

[Test Run – Linear Regression Using C#]


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