what matlab code can be used to perform a linear least squares solution for y = mx + b?calculates matrix multiplication – use for loops. in matlab

In MATLAB, you can solve the linear least squares problem for y = mx + b using matrix multiplication and for loops. Here is a MATLAB code example:

main.m
% Input data
x = [1, 2, 3, 4, 5]';  % x-values
y = [2, 4, 6, 8, 10]'; % corresponding y-values

% Construct the Vandermonde matrix
X = [x, ones(size(x))];

% Perform the linear least squares solution
coefficients = zeros(2, 1);
for i = 1:size(X, 2)
    for j = 1:size(X, 2)
        coefficients(j) = coefficients(j) + X(:,i)' * X(:,j);
    end
end
coefficients = coefficients \ (X' * y);

% Extract the slope (m) and y-intercept (b) from the coefficients
m = coefficients(1);
b = coefficients(2);

disp(['The slope (m) is: ', num2str(m)]);
disp(['The y-intercept (b) is: ', num2str(b)]);
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This code calculates the coefficients of the linear equation using matrix multiplication and for loops. The x-values and corresponding y-values are used to create the Vandermonde matrix, which is then used in the least squares solution to obtain the slope (m) and the y-intercept (b).

Note that this is just one way to solve the linear least squares problem in MATLAB, and there are other ways that may be more efficient depending on the problem.

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