Could you please fix my code it’s supposed to look like the graph that’s on the picture. But the lines do not cross eachother at the beginning. Could you make the lines look like the lines on the graph? Use this code in MATLAB and fix it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Define your seed here seed = 50; rand('seed',seed); % Set the seed for reproducibility % 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); % Plotting the data figure; hold on; % Plot Diesel best fit line plot(carPosition, fitDiesel, 'Color', [1, 0.5, 0], 'LineWidth', 2); % Plot Petrol best fit line plot(carPosition, fitPetrol, 'Color', [0, 0.5, 1], 'LineWidth', 2); % 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;

Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
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Could you please fix my code it’s supposed to look like the graph that’s on the picture. But the lines do not cross eachother at the beginning. Could you make the lines look like the lines on the graph? Use this code in MATLAB and fix it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Define your seed here seed = 50; rand('seed',seed); % Set the seed for reproducibility % 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); % Plotting the data figure; hold on; % Plot Diesel best fit line plot(carPosition, fitDiesel, 'Color', [1, 0.5, 0], 'LineWidth', 2); % Plot Petrol best fit line plot(carPosition, fitPetrol, 'Color', [0, 0.5, 1], 'LineWidth', 2); % 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;
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