Weighted CO2 Emmisions 50 40 30 20 20 CO2 Weighted Percentage о о 10 0 0 0 о 8 -10 0 10 20 30 Car Position 40 о Diesel Petrol Diesel Best Fit Petrol Best Fit 50 50 60

Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
Problem 1.1MA
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Could you please use this code to make the graph that you see in the picture. Keep the color of the lines the same and the circle the same basically make the orange and purple line that you see with the same curve. Do not make the lines too curvy just make it a little bit curvy just like you see in the picture. Use this code on MATLAB and fix it. Please make sure that every time you run the code on MATLAB it doesn’t show different curves on the line. Please it shows the same line when you run it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Use the 'seed' function instead of 'rng' seed = 50; % Define your seed here rand('seed',seed); % Assumed CO2 emissions for Diesel and Petrol CO2Diesel = 25 + 5*cos(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Diesel CO2Petrol = 20 + 5*sin(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Petrol % Fit polynomial curves with a reduced degree of 2 pDiesel = polyfit(carPosition, CO2Diesel, 2); pPetrol = polyfit(carPosition, CO2Petrol, 2); % Generate points for best fit lines fitDiesel = polyval(pDiesel, carPosition); fitPetrol = polyval(pPetrol, carPosition); % Combined best fit combinedFit = (fitDiesel + fitPetrol) / 2; % Plotting the data figure; hold on; % Define the split index and shorten the purple line splitIndex = round(length(carPosition) / 2); shortenIndex = round(length(carPosition) * 0.8); % Plot the combined best fit line (connect orange and purple, purple line shorter) plot(carPosition(1:shortenIndex), combinedFit(1:shortenIndex), 'Color', [1, 0.5, 0], 'LineWidth', 2); % Orange to shorter purple plot(carPosition(shortenIndex:end), combinedFit(shortenIndex:end), 'Color', [0.5, 0, 1], 'LineWidth', 2); % Shortened Purple % Petrol data scatter(carPosition, CO2Petrol, 'o', 'MarkerEdgeColor', [0 0.5 1]); % Blue for Petrol % Diesel data scatter(carPosition, CO2Diesel, 'o', 'MarkerEdgeColor', [1 0.5 0]); % Orange for Diesel % Customize the plot xlabel('Car Position'); ylabel('CO2 Weighted Percentage'); title('Weighted CO2 Emissions'); % Adjust axis limits xlim([1 60]); ylim([15 35]); % Add a legend with custom names legend('Diesel Best Fit', 'Petrol Best Fit', 'Petrol', 'Diesel'); % Add grid lines grid on; hold off;
Weighted CO2 Emmisions
50
40
30
20
20
CO2 Weighted Percentage
о
о
10
0
0 0
о
8
-10
0
10
20
30
Car Position
40
о
Diesel
Petrol
Diesel Best Fit
Petrol Best Fit
50
50
60
Transcribed Image Text:Weighted CO2 Emmisions 50 40 30 20 20 CO2 Weighted Percentage о о 10 0 0 0 о 8 -10 0 10 20 30 Car Position 40 о Diesel Petrol Diesel Best Fit Petrol Best Fit 50 50 60
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