Matlab code by least square method

Write matlab codes that fit curves n. a degree function using the least squares method.?

Answer 1

[David Hill]

If you can use matlab functions, it is quite easy:

p=polyfit(x,y,n);

[Mat m]

least square method matlab code

[Image Analyst]

Mat, yes, that's what it is.

Answer 2

[Image Analyst]

You can do something like this with polyfit. Run the attached demo for a full demo to create the plots below. Adapt as needed.

% Do the regression with polyfit to fit a cubic polynomial
cubicCefficients = polyfit(x, y, 3)
% The x coefficient, slope, is coefficients(1).
% The constant, the intercept, is coefficients(2).
% Make fit.  It does NOT need to have the same
% number of elements as your training set, 
% or the same range, though it could if you want.
% Make 500 fitted samples going from -13 to +12.
xFit = linspace(-13, 12, 500);
% Get the estimated values with polyval()
yFit = polyval(cubicCefficients, xFit);

[Diaz Iskakov]

Hello,

Very interesting but how could i create thus kind of function in high dimension problems ? Like R7->R

(X1,X2,X3,X4,X5,X7)->X

Thank

[Image Analyst]

You can use matrix division, like coefficients = A\y. Start a new question and provide some data to someone can do a multiple linear regression for you.