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Suppose We Have a Large Number of Possible Independent Variables

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Suppose we have a large number of possible independent variables that we want to explore, and we want to find a smaller set of these variables to use in predicting the dependent variable, eliminating other variables that add only an insignificant or trivial amount of explained variation in the dependent variable beyond the smaller set.Which method should we use regarding the order in which predictor variables are entered into our multiple regression analysis?


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