Cross-sectional regression

Cross-sectional regression is a type of data analysis used to understand relationships between different variables in a population. It looks at the data from different individuals to see how one variable affects another variable. For example, you can use it to see how a person's age affects their income or how family size affects a person's education level. It looks at all of the data points at the same time, or cross-sectionally, to see the relationships instead of just looking at one or two people's information. It is a way of finding out the relationship between different factors in an easier way.