Multiple Linear Regression: Taking Regression into the Third Dimension, And Beyond Linear regression can be extended to more variables than just two. You can look at more independent variables.

Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage ...

Objective: Choosing an appropriate method for regression analyses of cost data is problematic because it must focus on population means while taking into account the typically skewed distribution of ...

Hierarchical regression with forced entry was chosen as the most appropriate multiple regression method (Munro, 2001).