Row indexing: Snow fall records stateSnowRecord contains the amount of snow fall (in cm) for various cities. Rows represent a city and columns represent the snow fall for a given month. Assign citySnowRecord with all elements of row rowNum. Ex: If stateSnowRecord is [17.3, 20.3; 4.8, 6.2] and rowNum is 2, then citySnowRecord is [4.8, 6.2]. Function > 5 6 % 7% 8 9 10 11 12 13 end 1 function city SnowRecord = GetCitySnowFall (stateSnowRecord, rowNum) % GetCity SnowFall: Returns all snow fall values for city in row rowNum 3 % 4 % Inputs: stateSnowRecord - matrix of snow fall records for cities for various months rowNum specified row of stateSnowRecord to return stateSnowRecord= [17.3, 20.3; 4.8, 6.2] Outputs: citySnowRecord all snow fall values for a given city % Assign citySnowRecord with all elements of a row rowNum. citySnowRecord = stateSnowRecord (rowNum, :); Code to call your function > 1 GetCitySnow Fall ([17.3, 20.3; 4.8, 6.2], 2) Previous Assessment: 1 of 2 Tests Passed (50%) Save Check if GetCitySnow Fall([17.3, 20.3; 4.8, 6.2], 2) returns [4.8, 6.2] Check if GetCitySnowFall([12.6; 8.3; 9.6; 1.5], 3) returns [9.6] C Reset MATLAB Documentation C Reset Run Function Submit 50% (50%) 0% (50%) Total: 50%

Row indexing: Snow fall records stateSnowRecord contains the amount of snow fall (in cm) for various cities. Rows represent a city and columns represent the snow fall for a given month. Assign citySnowRecord with all elements of row rowNum. Ex: If stateSnowRecord is [17.3, 20.3; 4.8, 6.2] and rowNum is 2, then citySnowRecord is [4.8, 6.2]. Function > 5 6 % 7% 8 9 10 11 12 13 end 1 function city SnowRecord = GetCitySnowFall (stateSnowRecord, rowNum) % GetCity SnowFall: Returns all snow fall values for city in row rowNum 3 % 4 % Inputs: stateSnowRecord - matrix of snow fall records for cities for various months rowNum specified row of stateSnowRecord to return stateSnowRecord= [17.3, 20.3; 4.8, 6.2] Outputs: citySnowRecord all snow fall values for a given city % Assign citySnowRecord with all elements of a row rowNum. citySnowRecord = stateSnowRecord (rowNum, :); Code to call your function > 1 GetCitySnow Fall ([17.3, 20.3; 4.8, 6.2], 2) Previous Assessment: 1 of 2 Tests Passed (50%) Save Check if GetCitySnow Fall([17.3, 20.3; 4.8, 6.2], 2) returns [4.8, 6.2] Check if GetCitySnowFall([12.6; 8.3; 9.6; 1.5], 3) returns [9.6] C Reset MATLAB Documentation C Reset Run Function Submit 50% (50%) 0% (50%) Total: 50%

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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Newton’s 2nd Law Lab (Modeling friendly lab) Go to the PhET simulation Forces & Motion. https://phet.colorado.edu/sims/html/forcesandmotionbasics/latest/forcesandmotionbasics_en.html Select “Acceleration” Click to show Forces, Sum of Forces, Values, Mass, and Acceleration. There are two experiments for this activity – make sure you include both. Experiment #1: Acceleration vs. Force In this lab you will determine the relationship between acceleration and net force. Choose a mass at the beginning, and keep it constant for this entire experiment. Set the friction to zero. This will make your Applied Force equal to the net force. Record data for five different values of Applied Force. Graph Acceleration vs. Net Force. Graph this in Google sheets(you want a line graph - it should only have one line). Make sure that Applied Force information is used as the x value Make sure that Acceleration information is used as the y value Add a trendline – see what fits best –…
Hello I’m trying to make the graph that you see in the picture but I am having trouble on make the two lines that you see on the graph to over lap each other, I don’t want the two lines to be separate I want the two lines on top of eachother like you see in the picture please fix the code so that the Diesel line is on top of the Petrol line as seen on the picture. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Fix the random seed for reproducibility rng(45); % Assumed positions of cars 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); % Plotting the data figure; hold on;…
Hi I need help to make the line change into a different color, I half of the line to be orange and I need the other half of the line towards the end to be purple as shown in the picture. Also I need there be a box saying Diesel, petrol, diesel best fit, petrol best fit. This part is also shown in the graph. Please use this code and fix it in MATLAB: % 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 positions of cars 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); % Combine the best fit lines combinedFit =…
I need these three parts answered, if you are unable to answer all three parts please leave it for another tutor to answer, thank you.
Keep the same colors the same graph, basically keep everything the same just make the line with a small curve just as shown on the picture Keep everything the same just make the line less curvy please do not change the colors of the line and the circles do not change anything besides the curve of the line. 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);…
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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…
Hello I’m trying to make the graph that you see in the picture, I’m trying the exact copy of that graph using this code but I’m having a hard time doing that. Could you change the code so that it looks like the graph that you see on the picture using MATLAB, please send the code when you are finished. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Fix the random seed for reproducibility rng(45); % Assumed positions of cars 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); % Plotting the data figure; hold on; scatter(carPosition, CO2Diesel, 'o', 'MarkerEdgeColor', [1 0.5…
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