The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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 ...

But analysts are sometimes interested in understanding how multiple factors might contribute simultaneously to the same outcome. One useful tool to help us make sense of these kinds of problems is ...

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