One common problem in the use of multiple linear or logistic regression when analysing clinical data is the occurrence of explanatory variables (covariates) which are not independent, ie ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

Predicting the Future The most common use of regression in business is to predict events that have yet to occur. Demand analysis, for example, predicts how many units consumers will purchase.

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 ...

The rationale for the use of sample survey weights in a least squares regression analysis is examined with respect to four increasingly general specifications of the population regression model. The ...