Cross-sectional regression is a statistical technique used to analyze data collected at a single point in time across various subjects, such as individuals, companies, or countries. This method involves estimating the relationships between one or more independent variables (predictors or explanatory variables) and a dependent variable (the outcome or response variable) by fitting a regression model.
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