how to plot adjusted r squared in matlab

To plot the adjusted R squared in MATLAB, you can follow these steps:

1. Calculate the adjusted R squared value for your regression model.
2. Create a scatter plot of the data points.
3. Add a line plot of the adjusted R squared value.

Here is an example code that demonstrates how to plot the adjusted R squared in MATLAB:

main.m
% Sample data
x = [1, 2, 3, 4, 5];
y = [2, 4, 6, 8, 10];

% Fit a linear regression model
mdl = fitlm(x, y);

% Calculate the adjusted R squared value
adj_r_squared = mdl.Rsquared.Adjusted;

% Create a scatter plot of the data points
scatter(x, y);
hold on;

% Add a line plot of the adjusted R squared value
line([min(x), max(x)], [adj_r_squared, adj_r_squared], 'Color', 'r');

% Label the plot
xlabel('X');
ylabel('Y');
title('Adjusted R squared plot');

% Show the plot
legend('Data points', 'Adjusted R squared');
hold off;
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Make sure to replace x and y with your actual data. The code fits a linear regression model, calculates the adjusted R squared value, and then plots the data points along with a line indicating the adjusted R squared value.

I hope this helps!