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)

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
Question
ASAP
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)
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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