Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

Developing an understanding of the relationship between research and business decisions helps ensure your business is getting the most out of its research efforts.

Correlation coefficients can mean a positive, negative, or no relationship between two variables. Use correlation coefficients to help pick securities for your portfolio.

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.

It is a good way to show a relationship between two variables. Perhaps unsurprisingly, the people we surveyed who were most likely to interpret our scatterplot example correctly were the college ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

The purpose of this research article is to put forth a new research process for employing relative weight analysis (RWA) to test for mediating variables and relationships.