How to plot best fit line?

536 次查看(过去 30 天)
I have 1700 plot of data in graph. How do I plot the line of best fit? I stored the x and y data in table and the plot them. From the graph, I can see that the graph plotting is upwards. I have read other answers for this kind of question but still confused. Please help. Thank you.
x = score;
y = MOS;
scatter(x,y)
xlabel('score')
ylabel('MOS')

采纳的回答

Image Analyst
Image Analyst 2018-1-15
编辑:Image Analyst 2021-2-10
Use polyfit() and polyval():
% Get coefficients of a line fit through the data.
coefficients = polyfit(x, y, 1);
% Create a new x axis with exactly 1000 points (or whatever you want).
xFit = linspace(min(x), max(x), 1000);
% Get the estimated yFit value for each of those 1000 new x locations.
yFit = polyval(coefficients , xFit);
% Plot everything.
plot(x, y, 'b.', 'MarkerSize', 15); % Plot training data.
hold on; % Set hold on so the next plot does not blow away the one we just drew.
plot(xFit, yFit, 'r-', 'LineWidth', 2); % Plot fitted line.
grid on;
See attached for a full demo.
  4 个评论

请先登录,再进行评论。

更多回答(1 个)

Jos (10584)
Jos (10584) 2018-1-15
if it is just for plotting, the command lsline would do.
x = 1:10 ; y = 2* x + 3 ;
plot(x, y, 'bo') ;
lsline
  1 个评论
optoengineer2
optoengineer2 2021-2-9
lsline works only with "Statistics and Machine Learning Toolbox"

请先登录,再进行评论。

类别

Help CenterFile Exchange 中查找有关 Histograms 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by