Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

how do I do this in matlab? I have been trying C2M 3 0.16 0064 00255 01024 00016

ID: 2074664 • Letter: H

Question

how do I do this in matlab?
I have been trying

C2M 3 0.16 0064 00255 01024 000164 000066 08 45 64 0512 406 032768 020972 01677 62 2304 18482 026214 12 58 1441.28 20736 1.48s2 358318 4 29982 596 8 352 100224 120269 2.98598 15.104 24.1664 38 6662 16.7772 128 256 116232 464 28 4 5.76 33 824 351776 795262 58 547 110075 14an 35712 8570 205 201 191 103 61 4656 172.104 1349 29577802 20725301 162445454 B45 481.89 16 59 56 4096 6.5536 10 4858 268435 42949794 1 2 58 16 32 74 B4 21952 172.104 82 10.24 32.768 104 858 335 544 3435 97 109953 302 98304 314578 1000ss 1073.74 3.2 9b 3.6 15 11.96 46.556 167 962 604 662 783642 282113 56.6 202.17 721.834 26202 11 44 26.7 19 3615. 52 356 204 140 803 731162 04 102807 55459s7 185 12 s 1024 134 65536 283312 1324.8 184 374M1164916 31927. 140482 11748516 9122274 4110007 472,6 110592 sso 842 2548 04 S87DLL 281795 149.2. 716544 3439 41 165092 122506 4 207 1 5299340 20 123245 0172 38549 30841 35 93 3136 175616 983 45 5307 32 172700 01173 -1914 9216 4564,7921,55 79 235438 675710 3715586 3159 D4 5697.95 29283 6 154722

Explanation / Answer

Since there was a technical error in uploading the images, I was not able to upload the matlab code or results image. Therefore I have inserted code in written format.

Matlab code::::

function [A,Sum_A] = Chegg_Problem
x = [0:0.4:6]'; %% Defines x vector (column vector)
y = [0,3,4.5,5.8,5.9,5.8,6.2,7.4,9.6,15.6,20.7,26.7,31.1,35.6,39.3,41.5]'; %% Defines y vector (column vector)
C = vpa(x.*x,4); %% C = x^2
D = vpa(C.*x,5); %% D = x^3
E = vpa(C.*C,6); %% E = x^4
F = vpa(C.*D,6); %% F = x^5
G = vpa(D.*E,6); %% G = x^7
H = vpa(E.*E,7); %% H = x^8
I = vpa(x.*y,5); %% I = x*y
J = vpa(C.*y,6); %% J = x^2*y   
K = vpa(D.*y,6); %% K = x^3*y
L = vpa(E.*y,6); %% L = x^4*y
M = vpa(D.*D,6); %% J = x^6
consolidated_mat=[x y C D E F G H I J K L M]; %% consolidated_mat represents all the consolidated matrices
A=vpa(consolidated_mat,7); %% A represents consolidated matrix in 7 decimals
Sum_A=vpa(sum(A),7); %% Sum_A represents sum of individual matrices i.e. x to M
end

To run the program, in the command window type:::

[A,Sum_A]=Chegg_Problem

Result will be:::::

A =

[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
[ 0.4, 3.0, 0.16, 0.064, 0.0256, 0.01024, 0.0016384, 0.00065536, 1.2, 0.48, 0.192, 0.0768, 0.004096]
[ 0.8, 4.5, 0.64, 0.512, 0.4096, 0.32768, 0.2097152, 0.1677722, 3.6, 2.88, 2.304, 1.8432, 0.262144]
[ 1.2, 5.8, 1.44, 1.728, 2.0736, 2.48832, 3.583181, 4.299817, 6.96, 8.352, 10.0224, 12.02688, 2.985984]
[ 1.6, 5.9, 2.56, 4.096, 6.5536, 10.48576, 26.84355, 42.94967, 9.44, 15.104, 24.1664, 38.66624, 16.77722]
[ 2.0, 5.8, 4.0, 8.0, 16.0, 32.0, 128.0, 256.0, 11.6, 23.2, 46.4, 92.8, 64.0]
[ 2.4, 6.2, 5.76, 13.824, 33.1776, 79.62624, 458.6471, 1100.753, 14.88, 35.712, 85.7088, 205.7011, 191.103]
[ 2.8, 7.4, 7.84, 21.952, 61.4656, 172.1037, 1349.293, 3778.02, 20.72, 58.016, 162.4448, 454.8454, 481.8903]
[ 3.2, 9.6, 10.24, 32.768, 104.8576, 335.5443, 3435.974, 10995.12, 30.72, 98.304, 314.5728, 1006.633, 1073.742]
[ 3.6, 15.6, 12.96, 46.656, 167.9616, 604.6618, 7836.416, 28211.1, 56.16, 202.176, 727.8336, 2620.201, 2176.782]
[ 4.0, 20.7, 16.0, 64.0, 256.0, 1024.0, 16384.0, 65536.0, 82.8, 331.2, 1324.8, 5299.2, 4096.0]
[ 4.4, 26.7, 19.36, 85.184, 374.8096, 1649.162, 31927.78, 140482.2, 117.48, 516.912, 2274.413, 10007.42, 7256.314]
[ 4.8, 31.1, 23.04, 110.592, 530.8416, 2548.04, 58706.83, 281792.8, 149.28, 716.544, 3439.411, 16509.17, 12230.59]
[ 5.2, 35.6, 27.04, 140.608, 731.1616, 3802.04, 102807.2, 534597.3, 185.12, 962.624, 5005.645, 26029.35, 19770.61]
[ 5.6, 39.3, 31.36, 175.616, 983.4496, 5507.318, 172709.5, 967173.1, 220.08, 1232.448, 6901.709, 38649.57, 30840.98]
[ 6.0, 41.5, 36.0, 216.0, 1296.0, 7776.0, 279936.0, 1679616.0, 249.0, 1494.0, 8964.0, 53784.0, 46656.0]


Sum_A =

[ 48.0, 258.7, 198.4, 921.6, 4564.787, 23543.81, 675710.2, 3713586.0, 1159.04, 5697.952, 29283.62, 154711.5, 124858.0]