Statistics - Effects (between predictor variable)

Statistics - Effect Size

Statistics - Effect Size Definition Effect size tells you about the magnitude of the effect. Articles Related Meta-analysis Glass coined the term “meta-analysis”. 1978: Gene V. Glass statisti "...

Statistics - (Interaction|Synergy) effect

Statistics - (Interaction|Synergy) effect About In a multiple regression, is assumed that the effect on the target of increasing one unit of one predictor (is independent|has no influence) on the ot "...

R - Multiple Linear Regression

Multiple linear regression with R functions such as lm Articles Related Steps Linear Model Unstandardized Unstandardized Multiple Regression Standardized Regression analyses, standardized (in the z sc "...

R - Simple Linear Regression

simple linear regression with R function such as lm Articles Related Steps Linear Model Unstandardized Unstandardized Simple Regression Standardized Regression analyses, standardized (in the z scale). "...

Statistics - (Significance | Significant) Effect

Fisher found with the P-value a way of judging the “significance” of experimental data entirely objectively. effect Articles Related

Statistics - Generalized Linear Models (GLM) - Extensions of the Linear Model

The Generalized Linear Model is an extension of the linear model that allows for lots of different, non-linear models to be tested in the context of regression. GLM is the mathematical framework used "...

Statistics - Non-linear (effect|function|model)

Non-linear effect The truth is almost never linear but often the linearity assumption is good enough. (Linearity is an approximation) When its not (increasing in complexity): polynomials, step funct "...