This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn...

Question

This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn = xn are observed, it is called the Likelihood function. Write down this Likelihood function L(θ0,θ1,σ2).

Radhika · Accepted Answer

Question :
This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn = xn are observed, it is called the Likelihood function. Write down this Likelihood function L(θ0,θ1,σ2).
Solution :
Consider three random variables defined as  and set of n observed independent variables (where i = 1,2,....., n ).
Likelihood function is defined as the measurement of value for goodness of fit under a regression equation model.

This joint distribution is a function of θ0, θ1, and σ2. When Y1 = y1,...,Yn = yn and X1 = x1,...,Xn = xn are observed, it is called the Likelihood function. Write down this Likelihood function...

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