3. Consider the following simple regression model Y = Bo+B₁X+e, where ~ N(0,²). During the class, we learned that we can estimate 30 and 3₁ using data (zi. Mi)
3. Consider the following simple regression model Y = Bo+B₁X+e, where ~ N(0,²). During the class, we learned that we can estimate 30 and 3₁ using data (zi. Mi)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![3. Consider the following simple regression model
where ~ N(0, ²).
Y = Bo+BX+ên
During the class, we learned that we can estimate 30 and 3₁ using data (zi. yi)<i<n by
SS29
and Bo=ỹ - 3₁
SS₂2
where = † Σ * and y = | Σ13 and
(b)
n
3₁ =
SSxy=(₁-7)(y-7) and SS₂z = - Σ(2₁-2)²
Hint: Start from
0²
SSXX
Hint: Note that because o.₁ are constants and are known constant value, E[3₁]
31, E[Bo] = Bo, and E[i] = z; and Var(3₁) = Var(30) = Var(zi) = 0. Therefore,
Var(y) = Var(30 + Bizi + c) = Var(e) = 0²
Prove (or show) that
for any 1 ≤ i ≤n. Using the previous statement, show that
= Var(3₁) = Var
12
$S9
SSTT
2² = 0² ( = + 55²) -
SS₂
SS₂
= Var(80) = Var(ỹ - ₁) = Var(y) + Var (3₁)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe168234c-8641-43ba-b22b-28f74f97e6ae%2F03a7a897-112b-42f6-8619-ee9e848726ae%2Fst4wtu_processed.png&w=3840&q=75)
Transcribed Image Text:3. Consider the following simple regression model
where ~ N(0, ²).
Y = Bo+BX+ên
During the class, we learned that we can estimate 30 and 3₁ using data (zi. yi)<i<n by
SS29
and Bo=ỹ - 3₁
SS₂2
where = † Σ * and y = | Σ13 and
(b)
n
3₁ =
SSxy=(₁-7)(y-7) and SS₂z = - Σ(2₁-2)²
Hint: Start from
0²
SSXX
Hint: Note that because o.₁ are constants and are known constant value, E[3₁]
31, E[Bo] = Bo, and E[i] = z; and Var(3₁) = Var(30) = Var(zi) = 0. Therefore,
Var(y) = Var(30 + Bizi + c) = Var(e) = 0²
Prove (or show) that
for any 1 ≤ i ≤n. Using the previous statement, show that
= Var(3₁) = Var
12
$S9
SSTT
2² = 0² ( = + 55²) -
SS₂
SS₂
= Var(80) = Var(ỹ - ₁) = Var(y) + Var (3₁)
Expert Solution
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Given information:
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