`Hey,
Note: Brother if you have any queries related the answer please do comment. I would be very happy to resolve all your queries.
clc
clear all
close all
format long
x=-10:10;
y=[11,85,60,44,40,27,16,10,0,2,2,1,7,8,15,20,33,50,58,81,104];
A=[x(:).^2 x(:) ones(numel(x),1)];
b=y(:);
[L,U,P]=lu(A);
z=L\b;
C=U\z;
a0=C(3)
a1=C(2)
a2=C(1)
r=sum((y-polyval(C,x)).^2)/sum((y-mean(y)).^2)
xx=-10:0.01:10;
yy=polyval(C,xx);
plot(xx,yy,x,y,'o');
Kindly revert for any queries
Thanks.
could you solve this by using matlab? 1.0 1.4 2.2 3.0 3.9 5.2 0.1 9.9 13.5...
use
matlab
6. You have a x-y relationship as follows 1 2 3 4 5 6 7 8 10 X 17.52 22.76 24.22 36.83 37.65 51.32 68.35 74.59 4.382 1.787 7.757 3nd order polynomial to curve-fit this relationship, i.e. We want to use a yaaxax +a^x (8) (a) Determine the coefficients of the polynomial by solving the following equation a (9) y's az a, (b) Determine the coefficients of the polynomial by using function polyfit (c) Make a plot showing...
a. As discussed in class, a coefficient matrix Z constructed with basis functions can be used to solve for the unknown coefficients a; of a polynomial function. Use this technique to determine the coefficients do and a; for a linear fit (y = ao tax) to the following data: x 0 1 2 3 y 2.43 9.62 13.55 20.12 Hint: Use basis functions 1 and x to create your coefficient matrix Z. Solve for the vector a using the equation:...
solve it
26. [M] Example 3 in Section 4.8 displayed a low-pass linear filter that changed a signal y) into y+) and changed higher-frequency signal winto the zero signal, where y cos (Tk/4) and wcos(3 k/4). The following cal- culations will design a filter with approximately those prop- erties. The filter equation is a ao y&+2+ay+1+ azyk= Zk for all k Because the signals are periodic, with period 8, it suffices to study equation (8) for k 0..7. The action...
Could someone please give me some guidance on how to answer
these, it's like looking at another language.
Thank you in advance
(a) Use the built regression tool in Excel and your personalized
data set (see above) to estimate the simple regression of sales
revenue in dollars (Y) generated by a salesperson in his/her first
year of completed service on the salesperson’s aptitude test score
(X). (2 marks)
When answering the following questions, assume all the
assumptions of the neoclassical...
Case: A small convenience store chain is interested in modeling the weekly sales of a store, y, as a function of the weekly traffic flow on the street where the store is located. The table below contains data collected from 24 stores in the chain. Store Weekly Traffic Flow (thousands of cars) Weekly Sales ($ thousands) 1 59.3 6.3 2 60.3 6.6 3 82.1 7.6 4 32.3 3.0 5 98 9.5 6 54.1 5.9 7 54.4 6.1 8 51.3 5.0...
Can you please answers these four questions as aoin as
possible please and thank you!
Given are five observations for two variables, z and y 5 13 20 18 48 57 11 27 a. Choose the corre rect scatter diagram for these data: A. B. 60+ 60 50 50 40 40 30+ 30 20 20 10 10- 10 20 30 40 50 60 x 10 20 30 40 50 60 57 x y 60 60 50+ 50- 40- 40+ 30-...
For this exercise we will run a regression using Swiss demographic data from around 1888. The sample is a cross-section of French speaking counties in Switzerland This data come with the R package datasets. The first step is to load the package into your current environment by typing the command libraryldatasets) in to the R console. This loads a number of datasets including one called swiss. Type help/swiss) in the console for additional details. The basic variable definitions are as...
Consider the following data table: 0 2i = 0.2 0.4 f(xi) = 2 2.018 2.104 2.306 0.6 0.2 and 23=0.4 is The linear Lagrange interpolator L1,1 (2) used to linearly interpolate between data points 12 (Chop after 2 decimal places) None of the above. -2.50x+0.20 -5.00x+2.00 -5.00x+2.00 5.00x-1.00 Consider the following data table: 2 Ti = 0 0.2 0.4 0.6 f(x) = 2.018 2.104 2.306 0.2 and 23 = 0.4, the value obtained at 2=0.3 is Using Lagrange linear interpolation...
gold ($/oz) Y
copper (cents/lb) X1
silver ($/oz) X2
Aluminum (cents/lb) X3
161.1
64.2
4.4
39.8
308
93.3
11.1
61
613
101.3
20.6
71.6
460
84.2
10.5
76
376
72.8
8
76
424
76.5
11.4
77.8
361
66.8
8.1
81
318
67
6.1
81
368
66.1
5.5
81
448
82.5
7
72.3
438
120.5
6.5
110.1
382.6
130.9
5.5
87.8
Statistics 11 Homework 9 Due Wednesday, Nov. 20 Metals.jmp lists the yearly average price of gold, copper, silver, and aluminum....
Help with 10-13 please? Thank you!
542 County Population (X) Elevation (X) Longitude (X) Obama% (Y) Prediction Squared Error Broomfield 57 5269 105.1 51.7 44.46 52.56 Gilpin 9141 105.5 56.7 49.44 52.65 Denver 620 5245 104.9 73.5 73.86 0.13 Lake 11580 106.3 60.4 55.50 24.01 San Juan 1 10791 107.7 52.6 56.49 15.15 Clear Creek 9 9676 105.7 51.01 10.18 Ouray 10236 1078 51.5 55.85 18.89 Sedgwick 3802 102.4 31.3 33.63 5.43 Teller 9150 1052 32.1 49.83 314.32 Summit 28...