Answered: 2 x Figure 3 x + 35 CO2 Weighted…

Automotive Technology: A Systems Approach (MindTap Course List)

6th Edition

ISBN:9781133612315

Author:Jack Erjavec, Rob Thompson

Publisher:Jack Erjavec, Rob Thompson

Chapter33: Emission Control Systems

Section: Chapter Questions

Problem 7ASRQ: Technician A says that during oxidation, as NOx gases pass over the catalyst, the N atoms are pulled...

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There is a small space between the orange and purple line could you please connect the two lines together also can you please make the purple line shorter and then connect the purple line to the orange line, please take out the box that says “Diesel, petrol, Diesel best fit, petrol best fit”. Also when ever I run this code the graph shows up but there are still errors that comes up could you please fix them when you are running this on MATLAB. Please use this code on MATLAB and fix it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Fix the random seed for reproducibility rng(50); % 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 pDiesel = polyfit(carPosition, CO2Diesel, 3); pPetrol = polyfit(carPosition, CO2Petrol, 3); % 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; % Split car positions for the two colored segments splitIndex = round(length(carPosition) / 2); % Plot combined best fit line (half-orange, half-purple) plot(carPosition(1:splitIndex), combinedFit(1:splitIndex), 'Color', [1, 0.5, 0], 'LineWidth', 2); % Orange plot(carPosition(splitIndex+1:end), combinedFit(splitIndex+1:end), 'Color', [0.5, 0, 1], 'LineWidth', 2); % 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('Combined Best Fit - Orange', 'Combined Best Fit - Purple', 'Petrol', 'Diesel'); % Optionally add an annotation box with specific text annotation('textbox', [0.15, 0.75, 0.3, 0.1], 'String', 'Diesel, Petrol, Diesel Best Fit, Petrol Best Fit', 'FitBoxToText', 'on'); % Add grid lines grid on; hold off; % Save the plot as an image (PNG format) saveas(gcf, 'CO2_Emissions_Plot.png'); % Save workspace variables to a .mat file save('CO2_Emissions_Data.mat', 'carPosition', 'CO2Diesel', 'CO2Petrol', 'combinedFit');

2 x Figure 3 x
+
35
CO2 Weighted Percentage
30
25
200
15
Weighted CO2 Emissions
Combined Best Fit - Orange
Diesel, Petrel, Diesembosed Beatlestit
Petrol
Diesel
000
20
10
20
narzo Shot on realme narzo 30 5G
30
Car Position
&
0 00
40
50
80
D
60
2024 05 07 09:17

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2 x Figure 3 x + 35 CO2 Weighted Percentage 30 25 200 15 Weighted CO2 Emissions Combined Best Fit - Orange Diesel, Petrel, Diesembosed Beatlestit Petrol Diesel 000 20 10 20 narzo Shot on realme narzo 30 5G 30 Car Position & 0 00 40 50 80 D 60 2024 05 07 09:17