The first step to understanding linear regression is to make sure you understand linear correlation.
Regression examines the relationship between two variables by determining the line of best fit (on a scatterplot). The properties of this line of best fit are determined as the slope (b) and where it touches the Y-axis (a).
- A predictor (X) variable, or an independent variable (IV), shown on the X-axis
- An outcome (Y) variables, or a dependent variable (DV), shown on the Y-axis
The generic equation for a simple linear regression is: