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 ...

Catherine Connolly, The Use of Multiple Regression Analysis in Employment Discrimination Cases, Population Research and Policy Review, Vol. 10, No. 2 (1991), pp. 117-135 ...

Multiple regression analysis was used to estimate the relative effect of the independent variables of parity, age, race, education, prenatal care and smoking on GA at delivery.

The effectiveness of various analytical formulas for estimating R² shrinkage in multiple regression analysis was investigated. Two categories of formulas were identified: estimators of the squared ...

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 ...