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

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal. This post will show how to estimate and interpret linear ...

One reason for this might be that there are very few applications at an elementary level. This article gives a brief introduction to the geometric approach in regression analysis, and then geometry is ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

L. A. Stefanski, J. S. Buzas, Instrumental Variable Estimation in Binary Regression Measurement Error Models, Journal of the American Statistical Association, Vol. 90 ...