One of the main issues with stepwise regression is that it searches a large space of possible models. Hence it is prone to overfitting the data. In other words, stepwise regression will often fit much better …

This leads us to a fundamental rule of the stepwise regression procedure — the list of candidate predictor variables must include all of the variables that actually predict the response. Otherwise, we …

逐步回归（Stepwise Regression） 是一种用于 特征选择 的统计方法，旨在在众多候选自变量中自动选择对因变量具有显著影响的变量，从而构建一个既简洁又有效的 回归模型。 逐步回归通过迭代过程， …

Sep 12, 2025 · Stepwise regression is the step-by-step iterative construction of a linear regression model that involves selecting independent variables for a final model. It is a method that constructs a...

Stepwise regression is a special case of hierarchical regression in which statistical algorithms determine what predictors end up in your model. This approach has three basic variations: forward selection, …

Aug 25, 2021 · Stepwise regression is a procedure we can use to build a regression model from a set of predictor variables by entering and removing predictors in a stepwise manner into the model until …

Jul 23, 2025 · Stepwise regression is a method for building a regression model by adding or removing predictors in a step-by-step fashion. The goal of stepwise regression is to identify the subset of …