Cross-sectional data refers to data collected at a single point in time across multiple subjects or entities, allowing for the examination of relationships between variables. This type of data is particularly useful in multiple linear regression, where the objective is to understand how various factors influence a particular outcome by analyzing data from different subjects simultaneously. By using cross-sectional data, researchers can capture a snapshot of the characteristics or behaviors of the subjects being studied.
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