Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

Balgobin Nandram, Erik Barry Erhardt, Fitting Bayesian Two-Stage Generalized Linear Models Using Random Samples via the SIR Algorithm, Sankhyā: The Indian Journal of Statistics (2003-2007), Vol. 66, ...

Linear regression draws corresponding trend lines, such as disease outbreaks, bitcoin prices, demand for software experts, etc.