how to draw a linear regression chart in matlab

To draw a linear regression chart in Matlab, you can use the following steps:

main.m
% Generate some sample data
x = rand(1, 100);
y = 2 * x + rand(1, 100);

% Perform linear regression
coeffs = polyfit(x, y, 1);

% Create a linear regression line
xfit = linspace(min(x), max(x), 100);
yfit = polyval(coeffs, xfit);

% Plot the data points and the linear regression line
plot(x, y, 'o', xfit, yfit, '-r');
xlabel('X');
ylabel('Y');
title('Linear Regression');
legend('Data Points', 'Linear Regression Line');

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This code will generate a scatter plot of the data points and a red line representing the linear regression line. You can customize the plot as needed.

Alternatively, you can use the regress function to perform linear regression and then plot the results:

main.m
% Generate some sample data
x = rand(1, 100);
y = 2 * x + rand(1, 100);

% Perform linear regression
[b, bint, r, rint, stats] = regress(y', x');

% Create a linear regression line
xfit = linspace(min(x), max(x), 100);
yfit = b(1) + b(2) * xfit;

% Plot the data points and the linear regression line
plot(x, y, 'o', xfit, yfit, '-r');
xlabel('X');
ylabel('Y');
title('Linear Regression');
legend('Data Points', 'Linear Regression Line');

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18 lines

This code will give you more detailed statistics about the linear regression, including the coefficients, confidence intervals, and R-squared value.

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related categories

matlab
linear-regression
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