2. The following Table gives data on output per hour (X) and real compensation per hour (Y) for the business and nonfarm business sectors of the U.S. economy. Year Y X 1990 1 12 1991 4 18 1992 7 30 Estimate the variance of the slope of the OLS regression of Y on X (B2) from the following regression: Y₁ = B₁ + B₂ X + 24 B₁ Bz 82 = 8-B₂8 Cov(X,Y) = Var(X) ΣΕΡ = n-2 82 var(B2)= Σχ X H= (30 points)
2. The following Table gives data on output per hour (X) and real compensation per hour (Y) for the business and nonfarm business sectors of the U.S. economy. Year Y X 1990 1 12 1991 4 18 1992 7 30 Estimate the variance of the slope of the OLS regression of Y on X (B2) from the following regression: Y₁ = B₁ + B₂ X + 24 B₁ Bz 82 = 8-B₂8 Cov(X,Y) = Var(X) ΣΕΡ = n-2 82 var(B2)= Σχ X H= (30 points)
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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ASAP

Transcribed Image Text:2.
The following Table gives data on output per hour (X) and real compensation per hour (Y) for the
business and nonfarm business sectors of the U.S. economy.
Year
Y
X
1990
1
12
1991
4
18
1992
7
30
Estimate the variance of the slope of the OLS regression of Y on X (B2) from the following regression:
Y₁ = B₁ + B₂ X + 24
B₁
Bz
82
= 8-B₂8
Cov(X,Y)
=
Var(X)
ΣΕΡ
=
n-2
82
var(B2)= Σχ
X
H=
(30 points)
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