Linear regression is a statistical method used to model the relationship between one or more independent variables and a dependent variable. It is widely used in many disciplines, such as business, science, and engineering, and can predict future trends and outcomes based on historical data. The Boston dataset contains variables such as crime rate, Zn, Indus, Chas, Nox, Rm, Age, Dis, Rad, Tax, Ptratio, Black, Lstat, and Medv.
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