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The multiple linear regression algorithm states that a response y can be estimated with a set of input features x and an error term ɛ. The model can be expressed with the following mathematical equation:
βT_X_ is the matrix notation of the equation, where βT, X ϵ ʀp+1 and ɛ ~ N(μ,σ2)
