Figure 1 File Edit View Insert Tools Desktop Window Help □ X 16 EUN 35 4\D incl se Ce ( о 0 30 Ο 25 Weighted CO2 Emissions Combined Best Fit - Orange Combined Best Fit - Purple Petrol Diesel X W N OO CO2 Weighted Percentage cti you ons os in ( O 20 20 0 O о 0 0 og 80 о 0 8 00 0 о O 00 20 ves rPo 0 arPo 00 15 5 10 15 or b (pDiesel, carPosition); (pPetrol, carPosition); iesel + fitPetrol) / 2; о O о a O ф о O о 25 30 35 Car Position Ο O O O 45 45 10 40 index and shorten the purple line length (car Position) / 2); donathasDeaitionl ٥١٠ 50 50 55 60 60 P sh sp CO2 Weighted Percentage igure 1 Edit View Insert Tools Desktop Window Help 35 200 Weighted CO2 Emissions Combined Best Fit-Orange Combined Best Fit - Purple o 0 фо ° о 0 Petrol Diesel C O 880 0 8 15 5 10 15 20 25 30 35 40 45 50 55 60 Car Position carfosition); Figure 1 Edit View Insert Tools Desktop Window Help CO2 Weighted Percentage 35 D 20 O 0 0 0 о 0 Weighted CO2 Emissions Combined Best Fit - Orange Combined Best Fit-Purple Petrol Diesel о 8 000 ° ° о 15 5 10 15 20 25 30 35 40 45 50 55 60 Car Position 1 carPosition);

The picture that has two graphs are generated by this code. Every time I run it on MATLAB it keeps generating graphs with different curves. The picture that shows one graph is the curve that I want to keep. Please keep the color of the lines and the circles and keep the title of the graph the same. I want everything to be the same except I want the line to look exactly like the picture with one graph on it. Use this code on MATLAB and fix it and then send the correct code back please. % 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;