Business Forecasting
Variable selection refers to the process of identifying and choosing the most relevant variables to include in a regression model. This step is crucial as it can significantly influence the model's performance, interpretability, and predictive accuracy. Proper variable selection helps avoid overfitting, enhances model interpretability, and ensures that the assumptions underlying regression analysis are satisfied.
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