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What is Variable Selection in Regression Analysis about?

The document discusses two main approaches to variable selection in regression analysis: the all possible regressions approach and automatic methods. The all possible regressions approach considers all subsets of explanatory variables and selects the best model according to criteria like adjusted R-squared or AIC. Automatic methods like forward, backward, and stepwise selection use search algorithms to efficiently select variables when there are many candidates. The document demonstrates using the leaps and

Author

rindang08

Language

EN