If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

This is a preview. Log in through your library . Abstract In this note the method of MINQUE is outlined to estimate the variances and covariances in a linear regression model and is used to estimate ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Catherine Falls Commercial/Getty Images Linear regression is a type ...

This is a preview. Log in through your library . Abstract In this paper we develop model checking techniques for assessing functional form specifications of covariates in censored linear regression ...

It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...

This course is compulsory on the BSc in Actuarial Science and BSc in Statistics with Finance. This course is available on the BSc in Business Mathematics and Statistics and BSc in Mathematics with ...

Last month we explored how to model a simple relationship between two variables, such as the dependence of weight on height 1. In the more realistic scenario of dependence on several variables, we can ...