How to make linear fit?

Hi; I want to plot a linear fit for the graphic in the attached file. And also I want to calculate slope of this linear fit? How can I do this? File is in the attached file.. Thanks a lot.

Answers (2)

Try this:
I = openfig('test.fig');
Ax = gca;
L1 = findobj(Ax, 'Type','line'); % Find ‘line’ Object
x = L1.XData; % Extract X-Data
y = L1.YData; % Extract Y-Data
XL = [min(x) max(x)]; % Get X-Limits
P = [x(:), ones(size(x(:)))] \ y(:); % Estimate Linear Fit Parameters
LinFit = [XL(:) [1;1]] * P; % Linear Fit
Slope = P(1);
hold on
plot(XL, LinFit, '-r', 'LineWidth',1.5)
hold off

5 Comments

Or consider using the Basic Fitting UI directly in your figure.
Also consider using polyfit to perform the regression and simplify the code, if you want it done in the script.
My code estimates, calculates, and plots a linear fit.
It estimates the parameters as ‘P’, and then calculates a regression line in ‘LinFit’. This is likely more efficient than polyfit and polyval for a simple linear fit.
nancy
nancy on 22 Jun 2018
Hi,
I want to use polyfit command. But how can I write a code in the script to use polyfit?
To use polyfit:
I = openfig('test.fig');
L = findobj(gca, 'Type','line'); % Find ‘line’ Object
x = L(2).XData; % Extract X-Data
y = L(2).YData; % Extract Y-Data
x = x(y > -2); % Remove Outliers
y = y(y > -2); % Remove Outliers
XL = [min(x) max(x)]; % Get X-Limits
P = polyfit(x, y, 1); % Estimate Linear Fit Parameters
LinFit = polyval(P, XL); % Linear Fit
Slope = P(1);
figure
plot(x, y)
hold on
plot(XL, LinFit, '-r', 'LineWidth',1.5)
hold off
EDIT Added plot image.

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Image Analyst
Image Analyst on 23 Jun 2018

0 votes

See my attached polyfit() demo.

2 Comments

When I execute the code; I have below message:
Polynomial is not unique; degree >= number of data points. > In polyfit at 71 In Untitled at 7
How can I solve it? Thanks a lot..
The demo runs fine. How did you change it? Post your data and code.

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on 22 Jun 2018

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on 24 Jun 2018

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