A backward procedure is a type of equation building procedure that begins with all potential explanatory variables in the regression equation and deletes them two at a time until further deletion would reduce the percentage of variation explained to a value less than 0.50.

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Backward procedure starts with all potential explanatory variables in the model and removes them one at a time based on specific criteria (like p-value, AIC, or BIC), not two at a time, and the stopping criterion is not specifically when the percentage of variation explained falls below 0.50.

A Backward Procedure Is a Type of Equation Building Procedure