Fit a line to data using regress

7 views (last 30 days)
Nicholas Deosaran
Nicholas Deosaran on 25 Sep 2020
Edited: Adam Danz on 28 Sep 2020
Hey all, I am trying to use a new matlab function "regress" and would like some help on how to use it to fit a line.
below is my code that I have so far, but lost on how to use the "regress" function.
x = 0:0.1:10;
n = 0;
noise = n*rand(1,length(x));
y = 2*x+1+noise;

Answers (1)

Adam Danz
Adam Danz on 25 Sep 2020
Edited: Adam Danz on 25 Sep 2020
Adam Danz
Adam Danz on 25 Sep 2020
No, b is just the slope if you've used the syntax from my answer.
If you want to plot the regression line you'll need the y-intercept term. To get the y-intercept term you need to add a column of 1s to x.
b = regress(y(:),[ones(size(x(:))),x(:)]);
b is a 2x1 vector containing the [intercept; slope];
Use refline(b(2),b(1)) to add the regression line.
Or, check out lsline.
Or, check out polyfit(x,y,1) along with refline.

Sign in to comment.

Community Treasure Hunt

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

Start Hunting!