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Chapter 12 discusses simple linear regression, focusing on establishing relationships between variables and forecasting new observations. It outlines the steps to build a regression model, including correlation analysis and fitting a linear model, while also addressing assumptions about error terms. Additionally, it highlights evaluation metrics for regression models, such as the coefficient of determination and error measures, emphasizing the importance of visual tools for assumption validation.

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24006871

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EN