In statistics, linear regression is an approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or …

Linear regression analysis is the most widely used of all statistical techniques: it is the study of linear, additive relationships between variables.

Notes on Applied Linear Regression Jamie DeCoster Department of Social Psychology Free University Amsterdam Van der Boechorststraat 1 1081 BT Amsterdam

Analysis of Variance Approach to Test the Significance of Regression. The analysis of variance (ANOVA) is another method to test for the significance of regression.

In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference.

All multiple linear regression models can be expressed in the following general form: where denotes the number of terms in the model. For example, the model can be …

Coefficient of determination. The coefficient of determination (R 2) for a linear regression model with one independent variable is:

Linear regression is the most basic type of regression and commonly used predictive analysis. The overall idea of regression is to examine two things: (1) does a set …

Coefficient of determination. The coefficient of determination (R 2) for a linear regression model with one independent variable is: