If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

where Y is the response, or dependent, variable, the Xs represent the p explanatory variables, and the bs are the regression coefficients. For example, suppose that you would like to model a person's ...

Multicollinearity is a common issue in multiple regression analysis, where the presence of high correlation among predictor ...

Often the questions we ask require us to make accurate predictions on how one factor affects an outcome. If a teacher is asked to work out how time spent writing an essay affects essay grades, it’s ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 26, No. 2 (1977), pp. 136-142 (7 pages) A method of analysing paired comparisons is presented for an experiment in which ...