The Wald test is a statistical test used to determine the significance of individual coefficients in a generalized linear model. It assesses whether the estimated parameters significantly differ from zero by comparing the square of the coefficient estimate to its variance. This test is essential in regression analysis for evaluating the contribution of each predictor variable to the model's explanatory power.
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