Regression and ANOVA
This lesson will help you understand how to establish a relationship between two or more objects. ANOVA or analysis of variance is used to analyze the differences among sample sets. Here you will learn
Regression
ANOVA
R square
Correlation and causation
Module 05
Regression and ANOVA Modules
Regression is a statistical method to establish the relationship between sets of variables to make predictions of the dependent variable with the help of independent variables. On the other hand, ANOVA is a statistical tool applied to unrelated groups to determine whether they have a common meaning.
Both regression and ANOVA are the statistical models used to predict the continuous outcome. Still, in the case of regression, the continuous outcome is predicted based on one or more than one continuous predictor variable. Whereas, in the case of ANOVA, a continuous outcome is predicted based on one or more than one categorical predictor variable.