1. Consider some masurement data is given below. [1.14 1.22 1.42 1.53 1.93 2.07 2.31 2.56 2.61 3.01 3.34 3.65 3.87 4.02 4.11 4.32 4.59 4.77 4.93 5.14]; X = y = [2.21 3.31 2.66 3.13 4.11 4.56 3.98 4.37 5.42 5.23 5.51 5.83 5.98 6.12 6.43 6.88 7.24 7.40 7.78 7.99]; i) Find linear function which minimizes root mean square error for the given data. (Write analytical expression explicitly.) ii) Plot the measurement data and the linear function in a same figure. (Consider "scatter, plot, hold on" commands for MATLAB). iii) Calculate the minimum root mean square error. iv) Calculate the relative percentage error for "x = 1.22, 2.61, 4.59" points.
1. Consider some masurement data is given below. [1.14 1.22 1.42 1.53 1.93 2.07 2.31 2.56 2.61 3.01 3.34 3.65 3.87 4.02 4.11 4.32 4.59 4.77 4.93 5.14]; X = y = [2.21 3.31 2.66 3.13 4.11 4.56 3.98 4.37 5.42 5.23 5.51 5.83 5.98 6.12 6.43 6.88 7.24 7.40 7.78 7.99]; i) Find linear function which minimizes root mean square error for the given data. (Write analytical expression explicitly.) ii) Plot the measurement data and the linear function in a same figure. (Consider "scatter, plot, hold on" commands for MATLAB). iii) Calculate the minimum root mean square error. iv) Calculate the relative percentage error for "x = 1.22, 2.61, 4.59" points.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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python plz
![1. Consider some masurement data is given below.
X =
[1.14 1.22 1.42 1.53 1.93 2.07 2.31 2.56 2.61 3.01 3.34 3.65 3.87
4.02 4.11 4.32 4.59 4.77 4.93 5.14];
y
[2.21 3.31 2.66 3.13 4.11 4.56 3.98 4.37 5.42 5.23 5.51 5.83 5.98
6.12 6.43 6.88 7.24 7.40 7.78 7.99];
i) Find linear function which minimizes root mean square error for the given data. (Write
analytical expression explicitly.)
ii) Plot the measurement data and the linear function in a same figure. (Consider "scatter, plot,
hold on" commands for MATLAB).
iii) Calculate the minimum root mean square error.
iv) Calculate the relative percentage error for "x = 1.22, 2.61, 4.59" points.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fabd5023c-5c8b-4c6f-9100-4034575d53d2%2Fe05e73b8-f45b-49bf-8280-bf8a8460d105%2F78iokh_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1. Consider some masurement data is given below.
X =
[1.14 1.22 1.42 1.53 1.93 2.07 2.31 2.56 2.61 3.01 3.34 3.65 3.87
4.02 4.11 4.32 4.59 4.77 4.93 5.14];
y
[2.21 3.31 2.66 3.13 4.11 4.56 3.98 4.37 5.42 5.23 5.51 5.83 5.98
6.12 6.43 6.88 7.24 7.40 7.78 7.99];
i) Find linear function which minimizes root mean square error for the given data. (Write
analytical expression explicitly.)
ii) Plot the measurement data and the linear function in a same figure. (Consider "scatter, plot,
hold on" commands for MATLAB).
iii) Calculate the minimum root mean square error.
iv) Calculate the relative percentage error for "x = 1.22, 2.61, 4.59" points.
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