Linear regression models: In the context of linear statistical modeling ‘linear’ means linear in the parameters (coefficients) not the explanatory variables. The explanatory variables can be transformed (say x2) but the model will still be linear if the coefficients remain linear. When the overall function (Y) remains a sum of terms that are each an X variable multiplied by a coefficient the function Y is said to be linear in the coefficients. A non-linear model is different in that it has a non-constant slope (a tutorial on

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Posted on May 20th, 2012