50 50 40 40 Petrol Best Fit Weighted CO2 Emmisions Diesel Petrol Diesel Best Fit 30 50 о ° 8 о 20 20 о 0 0 CO2 Weighted Percentage 10 0 о -10 0 10 20 30 50 60 50 40 40 Car Position Diesel Best Fit Petrol Best Fit Weighted CO2 Emissions 35 30 25 CO2 Weighted Percentage 20 о Petrol Diesel о 15 10 20 % 30 8 о 8 о 35 30 Weighted CO2 Emissions Diesel Best Fit Petrol Best Fit Petrol Diesel 25 CO2 Weighted Percentage 8 оо о 200 о 15 40 50 60 10 Car Position 00 оо 40 50 60 20 20 30 Car Position 40
50 50 40 40 Petrol Best Fit Weighted CO2 Emmisions Diesel Petrol Diesel Best Fit 30 50 о ° 8 о 20 20 о 0 0 CO2 Weighted Percentage 10 0 о -10 0 10 20 30 50 60 50 40 40 Car Position Diesel Best Fit Petrol Best Fit Weighted CO2 Emissions 35 30 25 CO2 Weighted Percentage 20 о Petrol Diesel о 15 10 20 % 30 8 о 8 о 35 30 Weighted CO2 Emissions Diesel Best Fit Petrol Best Fit Petrol Diesel 25 CO2 Weighted Percentage 8 оо о 200 о 15 40 50 60 10 Car Position 00 оо 40 50 60 20 20 30 Car Position 40
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
Related questions
Question
This code keeps on generating graphs with different curves. The picture that you see two different graphs comes from the same code but both of them have different curves. I need the curve to look like the picture that only has one graph. I basically need the line to have a slight curve and every time I run the code it will come up as the same graph every time. Use this code on MATLAB and fix 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;
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