Show that under the assumptions of the simple linear regression model, the mles of 0 and

Show that under the assumptions of the simple linear regression model, the mles of β₀ and β₁ are identical to the least squares estimates. (1) The pdf of Y_i is normal with mean li = β₀ + β₁ x_i and variance σ²; the likelihood function is the product of the n pdfs. (2) You don’t need to differentiate the likelihood function; instead, find the correspondence between that function and the least squares expression g(b₀, b₁).