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Multiple Linear Regression Model

  • Sujit K. Sahu

摘要

This chapter generalises the simple regression techniques of the previous chapter to the case where there are multiple possible explanatory variables. This chapter describes the foundational basics for machine learning where the simple and multiple regression techniques are exploited heavily for practical problems. Again, the techniques are described both theoretically and using practical modelling examples in R so that the reader can easily form their own transferable skills.