General Linear Model

The General Linear Model (GLM) is a statistical framework used to understand relationships between variables. It helps researchers analyze how one or more factors (like age, income, or education) influence a particular outcome (like test scores or health). The GLM assumes a linear relationship, meaning changes in the factors lead to proportional changes in the outcome. It’s versatile and can handle various types of data and complexities, making it valuable in fields like psychology, economics, and medicine for making predictions and testing theories. Essentially, it's a tool for uncovering patterns and insights in data.