This section introduces the Multiple Linear Regression Model along with a practical numerical example. It explains how monthly sales revenue (Y) is influenced by multiple factors such as the price index (X₁) and advertising expenditure (X₂). The provided dataset helps illustrate the estimation of relationships between variables and demonstrates how multiple regression can be used to analyze real-world economic data. This example is useful for understanding how different explanatory variables jointly affect an outcome variable in econometric analysis.
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