I keep getting an error on my correlation coefficient on line 20
13 views (last 30 days)
Show older comments
% Given data
x = [0, 2, 4, 6, 9, 11, 12, 15, 17, 19];
y = [5, 6, 7, 6, 9, 8, 8, 10, 12, 12];
% Least-squares regression for a straight line
A = [x', ones(size(x'))];
b = y';
coefficients = A\b; % Compute the slope and intercept
slope = coefficients(1);
intercept = coefficients(2);
% Calculate the fitted values
y_fit = slope * x + intercept;
% Calculate the standard error of the estimate
error = y - y_fit;
standard_error = sqrt(sum(error.^2) / (length(x) - 2));
% Calculate the correlation coefficient
correlation_coefficient = corr(x', y');
% Plot the data and regression line
scatter(x, y, 'o', 'filled');
hold on;
plot(x, y_fit, 'r', 'LineWidth', 2);
hold off;
xlabel('x');
ylabel('y');
title('Least-Squares Regression: Straight Line');
legend('Data', 'Regression Line');
0 Comments
Accepted Answer
Chunru
on 15 Mar 2024
There is no error running here(see below). Can you show your error message?
% Given data
x = [0, 2, 4, 6, 9, 11, 12, 15, 17, 19];
y = [5, 6, 7, 6, 9, 8, 8, 10, 12, 12];
% Least-squares regression for a straight line
A = [x', ones(size(x'))];
b = y';
coefficients = A\b; % Compute the slope and intercept
slope = coefficients(1);
intercept = coefficients(2);
% Calculate the fitted values
y_fit = slope * x + intercept;
% Calculate the standard error of the estimate
error = y - y_fit;
standard_error = sqrt(sum(error.^2) / (length(x) - 2));
% Calculate the correlation coefficient
correlation_coefficient = corr(x', y');
% Plot the data and regression line
scatter(x, y, 'o', 'filled');
hold on;
plot(x, y_fit, 'r', 'LineWidth', 2);
hold off;
xlabel('x');
ylabel('y');
title('Least-Squares Regression: Straight Line');
legend('Data', 'Regression Line', "location", "northwest");
2 Comments
Chunru
on 15 Mar 2024
Try the following:
- do "clear" before running your program
- which corr
- run "dbstop error" before running your program
More Answers (0)
See Also
Categories
Find more on Regression in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!