Please make the exact scoot of this graph. Make sure everything is the same. Make sure it runs through MATLAB with no errors. Please make it exactly the same. I need help with this. 50504040Petrol Best FitWeighted CO2 EmmisionsDieselPetrolDiesel Best Fit3050о° 8о2020о0 0CO2 Weighted Percentage100о-1001020305060504040Car Position

Instructions for UseCopy the MATLAB code above: This code includes both the generation of sample…

Answered: 50 50 40 40 Petrol Best Fit Weighted…

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

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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Please do not copy other's work Please do not copy other's work Please do not copy other's work Please do not copy other's work Please do not copy other's work
The graph to the right shows velocity vs. time for a cart on a track with a friction pad attached. The cart was launched from rest by a hoop spring. Use this graph to answer the following question: so long as the ramp is level, even with the friction pad NOT in contact with the track it is impossible to produce a region "b" that is flat (horizontal), i.e. that shows a constant velocity. This is because b V a of errors inherent to the motion detector the acceler tion gravity causes the cart to rate air currents in the room significantly affect the motion of the cart there is still a small amount of friction between the wheels of the cart and the track, and the axels of the cart with the body of the cart achieving constant velocity is not physically realistic under any circumstances
O His movement stopped. O His time was constant. O His acceleration was positive. Question 6 Velocity vs Time Time (sec) Based on the graph of velocity over time, which could be the initial velocity and the final velocity for this graph? O initial = 2.5 m/s; final = 2.5 m/s O initial = 0 m/s; final = 2.5 m/s O initial = 3.0 m/s; final = 6.0 m/s O initial = 6.Om/s: final = 3.0 m/s Velocity (m/s)
Help and the answers choice is A) robin is correct B)Pilar is correct C)aaron is correct D) Anthony is correct
Please make the exact graph with the lines in the same spot and the orange and blue circles at the same spot as well.
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…
Fix my MATLAB code. % Define unknown quantities in x-y system % abc = Acceleration of B wrt C on beam CD in i direction % vbc = Velocity of B wrt C on beam CD in i direction % xacd = Angular acceleration of beam CD in k direction % xvcd = Angular velocity of beam CD in k direction syms abc vbc xacd xvcd; % Create Unit Vectors in x-y coordinates i = [1,0,0]; j = [0,1,0]; k = [0,0,1]; % Create Unit Vectors in X-Y coordinates (R is rotation Matrix) Theta = 150; % Angle from X-axis to x-axis R = [[cosd(Theta),-sind(Theta), 0]; ... [sind(Theta), cosd(Theta), 0]; [0, 0, 1]]; XYZ = R*[i;j;k]; I = XYZ(1,:); J = XYZ(2,:); K = XYZ(3,:); % Set known quantities for Beam AB (no slider connection). xVab = -2.5*K; % Angular Velocity of Beam AB xAab = -3*K; % Angular Acceleration of Beam AB Rba = 0.2*(cosd(135)*I + sind(135)*J ); % Vector from A to B in X-Y % Calculate velocity and acceleration of point B % due to rotation of Beam AB (no slider connection). Vb1 = cross(xVab,Rba); Ab1 =…
For the following concentration expressions, indicate whether they are uniform or nonuniform and in how many dimensions (OD, 1D, 2D, or 3D), and steady or unsteady. Then for the following control volume and origin, and table of constants, use Excel or Matlab to graph profiles that show how concentration changes within the control volume and over time to a limit of 20 for the following: C(x,0,0,0), C(0,y,0,0), c(0,0,z,0) and C(0,0,0,t). On each graph, show which parameters are held constant, the CV boundaries, and the point where all four plots overlap. 20 C(x=0) 10 a 0.0001 b 0.001 20 0.01 y k 0.1 100 All of the following functions are C(space, time) and so not necessarily just x as suggested. a. C,(x)= C,(x = 0)x exp{- ax} d. C, (x) = C, (x = 0)x exp{-ax}x exp{- by² }x exp{-cz²}x exp{- kt}
This for midterm review. I just need an explanation for b-d
I wanted to know how to create plots like these in MATLAB. I belive they were called herpolhode plots.
In your biomechanical testing lab, you perform a series of compression tests to determine the relationship between apparent bone density (p, units of g/cm³) and ultimate stress (ơult, units of MPa). Using the set of experimental measurements below, write an m-file to fit a power relationship of the form O uli = Ap to the data. Use the log transform method to linearize the system and data, followed by linear regression. Plot the data points and the power relationship on a single plot. Be sure to label your axes and provide a legend. Provide a printout of your m-file and a printout of the command window showing your results. Write down the best fit equation and box it. 8.76 5.25 4.26 5.51 3.88 18.45 2.09 13.72 5.42 2.17 Oult (MPa) p (g/cm³) 0.598 | 0.459 0.319 | 0.235 0.141 0.754 0.177 0.553 0.394 0.246