Business Analytics
Variable selection is the process of identifying and choosing the most relevant variables to be included in a statistical model, particularly in multiple linear regression. This process helps improve the model's accuracy, interpretability, and efficiency by eliminating irrelevant or redundant predictors that can introduce noise and complicate the analysis. Proper variable selection not only enhances model performance but also aids in understanding the underlying relationships between variables.
congrats on reading the definition of Variable Selection. now let's actually learn it.