Nature is marked not only by struggles for survival, but also by remarkable feats of cooperation. From microbes to insects to humans, organisms work together in a variety of ways to gather and share ...

There are many assumptions that should be provided in regression and correlation analyses. If the assumptions are not met, the results of the analysis lead to errors. Multivariate regression analyses ...

A non-experimental, quantitative design was employed, using simple linear regression to analyze the predictive power of psychological acculturation and Spanish L2 proficiency on social isolation.

Zou, K.H., Tuncali, K. and Silverman, S.G. (2003) Correlation and Simple Linear Regression. Radiology, 227, 617-628.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Here we consider linear regression from the view of correlation and propose a robust regression algorithm. The main idea of this work is from the fact that the inliers lying in a low dimensional ...

Descriptive statistics, simple linear regression correlation analysis, multivariate analysis of variance (MANOVA), and inferential statistical techniques (Fisher and Marshall, 2009; Swanepoel et al., ...

Simple Linear Regression: The most basic linear regression model describes the correlation between an independent and dependent variable using a regression line to convey the linear relationship ...