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Mechanical Engineering
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Dec 6, 2023
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QUESTION
9
0.7
points
Run
the
following
two
lines
to
find
the
pairwise
comparisons
based
on
Angle
and
Vehicle:
>
model.crash3<-aov
(Damage~Angle+Vehicle)
>
TukeyHSD
(model.crash3,conf.level=0.95)
According
to
the
output
which
Angle
types
show
a
significant
difference
in
average
Damage?
(You
can
select
multiple
answers.)
()
Rear
end
-
Head-on
(]
Slant
-
Head-on
#
Slant
-
Rear
end
QUESTION
10
0.7
points
According
to
the
output
from
question
#9,
which
Vehicle
types
show
a
significant
difference
in
average
Damage?
(You can
select
multiple
answers.)
#
Varmint-Goliath
¥
Weasel-Goliath
()
Weasel-Varmint
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Related Questions
Can you write me a program manuscript using geometric definition on FAPT language.
The starting point is P1 and starts where the blue dot is. P1 = 0,0
arrow_forward
Could you please fix my code it’s supposed to look like the graph that’s on the picture. But the lines do not cross eachother at the beginning. Could you make the lines look like the lines on the graph?
Use this code in MATLAB and fix it.
% Sample data for Diesel and Petrol cars
carPosition = linspace(1, 60, 50); % Assumed positions of cars
% Define your seed here
seed = 50;
rand('seed',seed); % Set the seed for reproducibility
% 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);
% Plotting the data
figure;
hold on;
% Plot Diesel best fit line…
arrow_forward
Can you help me with this problem?
P1 is where the blue dot is
arrow_forward
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…
arrow_forward
Could you change the lines in to two lines just like it shows in the graph . Make it exactly those two lines. Keep the colors and the same.
Use this code on MATLAB and fix it.
% Sample data for Diesel and Petrol cars
carPosition = linspace(1, 60, 50); % Assumed positions of cars
% Define your seed here
seed = 50;
rand('seed',seed); % Set the seed for reproducibility
% 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…
arrow_forward
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);…
arrow_forward
I’m making the graph that you see in the picture but the code that I’m using makes the line with to many curves. Could you make the lines look like the one that you see on the graph. Don’t change the color just make it with a little bit less curves like you see in the picture.
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;…
arrow_forward
Please refer to the attached picturs of the problem statement. I have solved a, b, c, and g using kinematics and Newton's Second Law. I'm not sure how to answer d, e and f however. My answers are:
a) aT=v0/ts
b) ac/t=mu(g)+v0/ts
c)truck stops before crate
d) unsure
e) unsure
f) unsure
g) mu=[(aTts)2]/[2d0-2v0ts-aTts2]
mu=[aTv02]/[g(2d0aT-3v02)]
arrow_forward
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 citySnow Record 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 >
6 %
7 %
8
9
10
11
12
13 end
function citySnowRecord = Get CitySnowFall (stateSnowRecord, rowNum)
2% Get CitySnow Fall: Returns all snow fall values for city in row rowNum
%
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…
arrow_forward
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…
arrow_forward
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 =…
arrow_forward
please sovle part (I)
and give me the formulas used in excel
Try to find a result less than 50 for the question
arrow_forward
4:16
Search
Expert Q&A
Done
Please solve question 16-109 below this in the
follwoing way:
• Please include a kinamatic diagram (one for
velocity and one for acceleration).
• Please DO NOT solve this using velocity
analysis (cartesian vector analysis). I would
like it to be solved using scalar method. We
dont use 3D in this course. We only use scalar
analysis for the relative velocity equation
(writing the x and y components of the
equation and solving the equations for the
unknowns). I have attached a sample question
with solution in order to get an idea on how to
use the scalar method to solve my question. I
would like question 16-109 to be solved in a
similar way. Thank you for your
understanding.
If you can solve it as soon as possible that
would be great and I will give you a thumps up
and positive feedback :)
16-109. Member AB has the angular motions shown.
Determine the angular velocity and angular acceleration of
members CB and DC.
100 mm
D
60°
450 mm
W
AB
α AB
84
= 2 rad/s
= 4…
arrow_forward
Please help me with drawing.
arrow_forward
I need help with the purple line the line that you see one the graph on the picture needs to be on the graph.
Use this code to add the purple line and make sure it’s crossing the orange line. Please make sure the lines are positioned the same way it is shown on the picture with the graph.
Use this code on MATLAB and add the purple line.
% 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);…
arrow_forward
convert height to cm
File Edit View Insert Format Data Tools
100%
% .0 .00 123
D20
fx |
A
1
5 feet
2
11 inches
3
cm
4
The preceding image shows a Google Sheet used to convert length in feet and inches to
cm. What formula should be entered into A3 so that the correct length is computed in cm
(in cell A3)? Your answer must work with any values the user might enter in cells A1 and A2.
Choose all that apply
a) = A1*12*2.54 + A2*2.54
b) = (5*12 + 11) * 2.54
%3D
c) = B1*12*2.54 + B2*2.54
d) A1*12*2.54 + A2*2.54
e) = (A1*12 + A2) * 2.54
f) = A1*12 + A2 * 2.54
%24
田
arrow_forward
No need guideline answer ok. Solve both write RRL. ABOUT THESE 2 ITEMS. NOTE NO NEED EXTRA EXPLANATION ONLY NEED FOR OTH 1 PARAGRAPH EACH PUT REF END POINTS OK. DONT NEED GUIDELINE OKK. IF ANSWER GUIDELINE I WILL DISLIKE OKK
1. height of sweet potato plants;
2. programable speed of a rover: . something that says that a rover is programmed via speed, that it doesn't matter if the weight of the rover is decreasing from time to time. something that says that if you programmed a rover to go 5kph it will remain 5kph even if you put something heavy on it.
arrow_forward
Do not give answer in image and hand writing
arrow_forward
Please type out and or diagram Your solution in a way that is easy to read I have bad eyesight
arrow_forward
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;…
arrow_forward
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Related Questions
- Can you write me a program manuscript using geometric definition on FAPT language. The starting point is P1 and starts where the blue dot is. P1 = 0,0arrow_forwardCould you please fix my code it’s supposed to look like the graph that’s on the picture. But the lines do not cross eachother at the beginning. Could you make the lines look like the lines on the graph? Use this code in MATLAB and fix it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Define your seed here seed = 50; rand('seed',seed); % Set the seed for reproducibility % 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); % Plotting the data figure; hold on; % Plot Diesel best fit line…arrow_forwardCan you help me with this problem? P1 is where the blue dot isarrow_forward
- 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…arrow_forwardCould you change the lines in to two lines just like it shows in the graph . Make it exactly those two lines. Keep the colors and the same. Use this code on MATLAB and fix it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Define your seed here seed = 50; rand('seed',seed); % Set the seed for reproducibility % 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…arrow_forwardKeep 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);…arrow_forward
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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…arrow_forwardHi 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 =…arrow_forwardplease sovle part (I) and give me the formulas used in excel Try to find a result less than 50 for the questionarrow_forward
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