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Refers to any model where a random variable is related to one or more random variables by a function that is linear in a finite number of parameters.

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In a simple linear model with a single explanatory variable, $\alpha_i = \beta_0 + \beta_1 \delta_i + \epsilon_i$ I find that removing the intercept term improves the fit greatly (value of $R^2$ goe …
asked Apr 10 '12 by Ernest A