17.8 Fit the following data with the power model (y = ax). Use the resulting power equation to predict y at x = 9: 2.5 3.5 5 6 7.5 10 12.5 15 17.5 20 y 13 11 8.5 8.2 7 6.2 5.2 4.8 4.6 4.3 Note: For the first three problems below, you must find the regression fits by writing your own MATLAB functions that calculate the requested values. (2) Problem 17.8. In addition to the book's instructions, plot the data and the power-law fit. Show your MATLAB function/Command Window, as well as the plot.

Elements Of Electromagnetics
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ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
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17.8 Fit the following data with the power model (y = ax). Use
the resulting power equation to predict y at x = 9:
2.5 3.5 5
6
7.5
10 12.5 15 17.5 20
y
13 11
8.5 8.2
7
6.2
5.2 4.8 4.6 4.3
Transcribed Image Text:17.8 Fit the following data with the power model (y = ax). Use the resulting power equation to predict y at x = 9: 2.5 3.5 5 6 7.5 10 12.5 15 17.5 20 y 13 11 8.5 8.2 7 6.2 5.2 4.8 4.6 4.3
Note: For the first three problems below, you must find the regression fits by
writing your own MATLAB functions that calculate the requested values.
(2) Problem 17.8. In addition to the book's instructions, plot the data and the
power-law fit. Show your MATLAB function/Command Window, as well as
the plot.
Transcribed Image Text:Note: For the first three problems below, you must find the regression fits by writing your own MATLAB functions that calculate the requested values. (2) Problem 17.8. In addition to the book's instructions, plot the data and the power-law fit. Show your MATLAB function/Command Window, as well as the plot.
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