Title: The optional set of independent variables in multiple recession analysis
Abstract: An algorithm using a new enumeration procedure and a few cut-off rules that can considerably shorten the time required to find the optimal set of independent variables that should be used in multiple regression analysis is proposed. The enumeration procedure reduces the steps to one half the number involved in the current (Garside) method. In addition, the cut-off rules proposed enable the analyst to delete whole blocks of subsets from the enumeration and computational process. The objective of this method is to find the subset of independent variables that will maximize the coefficient of multiple determination at all levels in order to reduce computer time. However, the best sets obtained in the successive stages of the procedure are not necessarily the best sets for an entire group. Statistical data are included. 6 references.
Publication Year: 1970
Publication Date: 1970-06-30
Language: en
Type: article
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