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 ...

Regression imputation is commonly used to compensate for item nonresponse when auxiliary data are available. It is common practice to compute survey estimators by treating imputed values as observed ...

A quantitative study is made of the bias in the usual estimate of the linear correlation coefficient and of the relative efficiency of the estimated regression, when a certain type of selective ...

Regression output can be interpreted for both the size and strength of a correlation among one or more variables on the dependent variable. Linear Regression in Finance ... produce various numerical ...

An international team of mathematicians, led by Lehigh University statistician Taeho Kim, has introduced an innovative method ...

Understanding one of the most important types of data analysis. by Amy Gallo You probably know by now that whenever possible you should be making data-driven decisions at work. But do you know how to ...