Suppose 5 out of 25 data points in a weighted least-squares problem have a y-measurement that is less reliable than the others, and they are to be weighted one sixth as much as the other 20 points. One method is to weight the 20 points by a factor of 1 and the other 5 by a factor of A second method is to weight the 20 points by a factor of 6 and the other 5 by a factor of 1. Do the two methods produce different results? Explain. Let W represent the weight matrix for the first case. The coefficients for the least-squares line are the solution to the normal equation (WA) WAX= (WA) Wy. How is the weight matrix W' for the second case related to the weight matrix for the first case? w'=0 Write the normal equation for the second case in terms of the weight matrix W. (W'A) TW'AX= (W'A) TW'y 0¹0x=0¹0 y Now use the properties of scalar multiplication to collect all the coefficients. (WA) WAX = ((WA) Wy (Simplify your answers.) Compare this equation to the normal equation for the first case, (WA) WAX = (WA) Wy. How are their solutions related? The solutions for the second case are because the normal equation in the second case

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

Please do not give solution in image formate thanku. 

Suppose 5 out of 25 data points in a weighted least-squares problem have a y-measurement that s less reliable than the others, and they are to be weighted one sixth as much as the other 20 points. One method is to weight the 20 points by a factor of 1 and the
1
other 5 by a factor of A second method is to weight the 20 points by a factor of 6 and the other 5 by a factor of 1. Do the two methods produce different results? Explain.
Let W represent the weight matrix for the first case. The coefficients for the least-squares line are the solution to the normal equation (WA) WAX = (WA) Wy. How is the weight matrix W' for the second case related to the weight matrix for the first case?
W' =
Write the normal equation for the second case in terms of the weight matrix W.
(W'A) TW'AX = (W'A) TW'y
0'0x=0¹0 y
Now use the properties of scalar multiplication to collect all the coefficients.
(WA) WAX = ((WA) Wy
(Simplify your answers.)
C
Compare this equation to the normal equation for the first case, (WA) WAx=(WA) Wy. How are their solutions related?
The solutions for the second case are
because the normal equation in the second case
Transcribed Image Text:Suppose 5 out of 25 data points in a weighted least-squares problem have a y-measurement that s less reliable than the others, and they are to be weighted one sixth as much as the other 20 points. One method is to weight the 20 points by a factor of 1 and the 1 other 5 by a factor of A second method is to weight the 20 points by a factor of 6 and the other 5 by a factor of 1. Do the two methods produce different results? Explain. Let W represent the weight matrix for the first case. The coefficients for the least-squares line are the solution to the normal equation (WA) WAX = (WA) Wy. How is the weight matrix W' for the second case related to the weight matrix for the first case? W' = Write the normal equation for the second case in terms of the weight matrix W. (W'A) TW'AX = (W'A) TW'y 0'0x=0¹0 y Now use the properties of scalar multiplication to collect all the coefficients. (WA) WAX = ((WA) Wy (Simplify your answers.) C Compare this equation to the normal equation for the first case, (WA) WAx=(WA) Wy. How are their solutions related? The solutions for the second case are because the normal equation in the second case
Expert Solution
steps

Step by step

Solved in 4 steps with 9 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman