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relationship between the dependent variable y and the vector of regressors x is linear. This relationship is modeled through a disturbance term or error variable ?--an unobserved random variable that adds extra "noise" to the linear relationship between the dependent variable and regressors. Thus the model takes its formwhere ^T denotes the transpose, so that x_i^T? is the

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