3. Given the multiple linear regression model Y=B₁ + B₁X₁ + B₂X₂, derive the normal equations in deviation form from the
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3. Given the multiple linear regression model Y=B₁ + B₁X₁ + B₂X₂, derive the normal equations in deviation form from the stochastic term e=y-y by minimizing e² with respect A to B, B₁ and B₂ (Hint: start by deriving the expression for y=Y-Y; 05 ^ ^ ^ Ỹ = B₁ + B₁ X₁ + ß₂ X₂; Ỹ = ¸±Â‚ Ñ‚ + ß₂ X₂, derive the parameter estimates of B., B₁ 20 29 and A ^ ₂.