In this article, you'll learn the basics of simple linear regression, sometimes called 'ordinary least squares ... At the heart of a regression model is the relationship between two different ...

Investopedia / Yurle Villegas A variance inflation factor (VIF) is a measure of the amount of multicollinearity in regression analysis ... the structure of the model equation can produce large ...

With this setup, I now have an equation to predict my ... If you want to go further in linear regression, check my Google Page Speed Insights OLS model. I’ve built my own dataset and tried ...

It is not desirable to use ordinary regression analysis for time series data since the assumptions on which the classical linear regression model is based will usually be violated. Violation of the ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Identifying causal relationships from observational data is not easy. Still, ...

The estimation of empirical models is essential to public policy analysis and social science research. Ordinary Least Squares (OLS) regression analysis is the most frequently used empirical model, and ...