Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...

Linear regression (also called simple regression) is one of the most common techniques of regression analysis. Multiple regression is a broader class of regression analysis, which encompasses both ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. If you've ever ...

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 ...

Acquire an understanding of the concepts surrounding 'collinearity'. Appreciate the indications and symptoms of collinearity in multivariable regression. Become aware of the available diagnostic tools ...

This is a preview. Log in through your library . Abstract In a traditional regression-discontinuity design (RDD), units are assigned to treatment on the basis of a cutoff score and a continuous ...

This is a preview. Log in through your library . Abstract To illustrate the models and methods of the present article, we shall reanalyze those data in the famous study of The American Soldier by ...

SPSS is the name of a series of software packages used for data analysis. Its main selling point is that it allows scientific researchers, teachers and students to quickly analyze data without needing ...