2. The data below obtained from the experiment: 1.5 3.6 2.4 f(a) 0.7555 0.6206 0.5052 0.4812 0.4498 0.4337 1.8 2.7 3.2 This data can be fitted to the curve y where C and D are C+ Dr constants. a. Show that the curve above can be written as D+. C b. Hence, by using the least squares linearization process, determine the value of C and D. Start your caleulation with S =E(Y - Y(X,))² where S is the total squares error. c. Estimate the value of f(2.5) based on the results obtained in part (b).
2. The data below obtained from the experiment: 1.5 3.6 2.4 f(a) 0.7555 0.6206 0.5052 0.4812 0.4498 0.4337 1.8 2.7 3.2 This data can be fitted to the curve y where C and D are C+ Dr constants. a. Show that the curve above can be written as D+. C b. Hence, by using the least squares linearization process, determine the value of C and D. Start your caleulation with S =E(Y - Y(X,))² where S is the total squares error. c. Estimate the value of f(2.5) based on the results obtained in part (b).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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