|회귀 학습기||Train regression models to predict data using supervised machine learning|
|선형 회귀 모델|
|Perform stepwise regression|
|선형 회귀 모델 피팅하기|
|Add terms to linear regression model|
|Remove terms from linear regression model|
|Improve linear regression model by adding or removing terms|
In stepwise regression, predictors are automatically added to or trimmed from a model.
Construct and analyze a linear regression model with interaction effects and interpret the results.
Wilkinson notation provides a way to describe regression and repeated measures models without specifying coefficient values.