how to plot adjusted r squared , sum of squared error and fstatisticc in matlab

To plot adjusted R-squared, sum of squared error (SSE), and F statistic in MATLAB, you need to first compute these values and then create the plot. Here's an example:

main.m
% Generate sample data
x = 1:10;
y = 2*x + randn(size(x));

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

% Compute adjusted R-squared, SSE and F statistic
adjr2 = mdl.Rsquared.Adjusted;
sse = mdl.SSE;
fstat = mdl.FStat.pValue;

% Create x-axis labels
labels = {'Adjusted R^2', 'SSE', 'F-statistic'};

% Create y-axis values
values = [adjr2, sse, fstat];

% Plot the values
bar(values)

% Add x-axis labels
xticks(1:3)
xticklabels(labels)
xtickangle(45)

% Add y-axis label
ylabel('Values')

% Add title
title('Adjusted R^2, SSE, and F-statistic')

% Show gridlines
grid on
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This code generates sample data, fits a linear regression model, computes the adjusted R-squared, SSE, and F statistic, and then creates a bar plot of these values with appropriate labels. You can modify this code according to your specific data and model.

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