Q State Clearly explain the Naviable meoning of(CLm) each assumption of the two Classical Linear madel 9) Desive the Ordinary Least Sauare COLS) estímalors op the poramēters of the two variabde Classical Linear model. y=Xt B Xi + E Show that the OLS estimalor is a Linear onbiased estimator d Devive the vartance of the estimator OLS B1 Var For the above madel, the total explained and depined os TSs = Ey*- { (yi-p) unexplained varíable Can be as. ESS = Ey¢ =系(y:-- %3D %3D %3D %3D RSS= ES 3. %3D %3D D with the above expression rent explain the rationale as the regoession determinalion
Q State Clearly explain the Naviable meoning of(CLm) each assumption of the two Classical Linear madel 9) Desive the Ordinary Least Sauare COLS) estímalors op the poramēters of the two variabde Classical Linear model. y=Xt B Xi + E Show that the OLS estimalor is a Linear onbiased estimator d Devive the vartance of the estimator OLS B1 Var For the above madel, the total explained and depined os TSs = Ey*- { (yi-p) unexplained varíable Can be as. ESS = Ey¢ =系(y:-- %3D %3D %3D %3D RSS= ES 3. %3D %3D D with the above expression rent explain the rationale as the regoession determinalion
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
Concept explainers
Rate of Change
The relation between two quantities which displays how much greater one quantity is than another is called ratio.
Slope
The change in the vertical distances is known as the rise and the change in the horizontal distances is known as the run. So, the rise divided by run is nothing but a slope value. It is calculated with simple algebraic equations as:
Question
Please make solve part (d to f)
![Q State Clearly explain
Naviable
meaning ot(cLM)
model
each assumption of the two
sumption
Classical linrear
l T( CLM)
Derive the
the two varialde
Ordinary Least Saguare COLS) estímators oD the pon amēters of
(OLS) estímatlors oD
Poramēters
Classical Linear model. y= X +B X
Show that the OLS estimator
ê is a Linear
unbiased estimator
d Devive the variance of the estimaTor
OLS
Var
For the above madel, the total explained
and unexplained variable Can
@
depined
Zy'= { (yi-y)"
be
as.
2.
TSS=
2.
ESS = Eyi
%3D
%3D
%3D
RSS = Es
3.
(y:
%3D
D with the above
expression explain the rationale af R as the
determination
regsession
copicient ap](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F976fc7f7-ecd4-4def-ae81-0a59752fe6a1%2F6b4a0ca9-1bc7-44fb-8558-5560e9233131%2Fosptj1s_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Q State Clearly explain
Naviable
meaning ot(cLM)
model
each assumption of the two
sumption
Classical linrear
l T( CLM)
Derive the
the two varialde
Ordinary Least Saguare COLS) estímators oD the pon amēters of
(OLS) estímatlors oD
Poramēters
Classical Linear model. y= X +B X
Show that the OLS estimator
ê is a Linear
unbiased estimator
d Devive the variance of the estimaTor
OLS
Var
For the above madel, the total explained
and unexplained variable Can
@
depined
Zy'= { (yi-y)"
be
as.
2.
TSS=
2.
ESS = Eyi
%3D
%3D
%3D
RSS = Es
3.
(y:
%3D
D with the above
expression explain the rationale af R as the
determination
regsession
copicient ap
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