Final answer:
The expression for P(y | x₁, x₂) in the linear regression model y = w₀ + w₁x₁ + w₂x₂ + ϵ is given by the normal distribution formula.
Step-by-step explanation:
The expression for P(y | x₁, x₂) in the linear regression model y = w₀ + w₁x₁ + w₂x₂ + ϵ is given by the normal distribution formula. Since ϵ follows a normal distribution with mean 0 and variance σ², we can write the expression as:
P(y | x₁, x₂) = Normal Distribution(mean = w₀ + w₁x₁ + w₂x₂, variance = σ²)