The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

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 ...

Beside the model, the other input into a regression analysis is some relevant sample data, consisting of the observed values of the dependent and explanatory variables for a sample of members of the ...

Farris, Parry and Ailawadi (1992; hereafter denoted FPA) demonstrate that bias can arise in a regression involving a composite dependent variable where a subset of components of the dependent variable ...

Once you have chosen and configured an independent variable, you are ready to choose dependent variable(s). In this illustration, the net electrical output is chosen: When you click on a parameter or ...

This article deals with the use and misuse of the correlation coefficient when the dependent variable is of a dichotomous 0,1 nature. It focuses particularly on problems relating to curvilinearity and ...

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 ...

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 ...