20 The Regression Model

This video introduces simple regression as a way to understand the relationship between two variables, going beyond the correlation coefficient. While correlation shows association, it doesn't quantify how a unit change in one variable affects another. Simple regression assumes a direction of causality, designating one variable as dependent and the other as independent. The video explains the mathematical model for a linear relationship, including the crucial error term that accounts for unexplained variance. An example of height and weight is used to illustrate how this model is applied. Visit AxiomTutoring.com and subscribe to @AxiomTutoringCourses.