how that the expression for B₁ is given by 8₁ Hint = S XY 8XX Σ₁(X; - X)(Y₂ - Y) Σ' 1(X, − x)2

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In regression analysis with (X₁, X₂,..., X₂) and (Y₁, Y₂, …, Y) such that
Y₁ = Bo + B₁X₁ + €; where
id N (0,0²)
Let 3 and 3₁ be the maximum likelihood estimators for 30, 3₁.
€1, €2,..., En
Transcribed Image Text:In regression analysis with (X₁, X₂,..., X₂) and (Y₁, Y₂, …, Y) such that Y₁ = Bo + B₁X₁ + €; where id N (0,0²) Let 3 and 3₁ be the maximum likelihood estimators for 30, 3₁. €1, €2,..., En
2.
Write down the log-likelihood function (Bo, B₁, 0²) for the unknown parameters and using the
fact that
d
-l(B₁, B₁,0²)
23, 80, 81,0²)
dßo
d
dß₁
-l(Bo, B1,0²)
show that the expression for B₁ is given by
₁
and then solve it.
SXY
8XX
(X - 36 - Î;X;) – 0
- 3o
=
i=1
=
- Σα (Y – Bo – BiXi)Xi=0
Σ₁(X₁-X) (Y₁ - Y)
Σ1(X₂ - X)²
Hint
You may find it useful to first get an relationship for Bo and then show that
72
2 (Y - B - BLX)X=0.
Using this straightforward derivation you can write down the second likelihood equation in
terms of
Σ(Y₁ – Bo – B₁X;) (Xi – X)
i=1
Transcribed Image Text:2. Write down the log-likelihood function (Bo, B₁, 0²) for the unknown parameters and using the fact that d -l(B₁, B₁,0²) 23, 80, 81,0²) dßo d dß₁ -l(Bo, B1,0²) show that the expression for B₁ is given by ₁ and then solve it. SXY 8XX (X - 36 - Î;X;) – 0 - 3o = i=1 = - Σα (Y – Bo – BiXi)Xi=0 Σ₁(X₁-X) (Y₁ - Y) Σ1(X₂ - X)² Hint You may find it useful to first get an relationship for Bo and then show that 72 2 (Y - B - BLX)X=0. Using this straightforward derivation you can write down the second likelihood equation in terms of Σ(Y₁ – Bo – B₁X;) (Xi – X) i=1
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