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Home/ Questions/Q 4548810
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Editorial Team
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Editorial Team
Asked: May 21, 20262026-05-21T16:16:22+00:00 2026-05-21T16:16:22+00:00

I have two array 451×1 , I want to fit a line to a

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I have two array 451×1 , I want to fit a line to a part of my data, for x=3.8 –4.1 , and I want to evaluate interception of fitted line with line y=0, Do you have any idea? (In matlab )
enter image description here

data

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  1. Editorial Team
    Editorial Team
    2026-05-21T16:16:23+00:00Added an answer on May 21, 2026 at 4:16 pm

    You can easily perform a linear regression by indexing the points of the curve you want to use and passing them to the function POLYFIT. Here’s the code to do it and a plot of the fit line:

    index = (x >= 3.8) & (x <= 4.1);   %# Get the index of the line segment
    p = polyfit(x(index),y(index),1);  %# Fit polynomial coefficients for line
    yfit = p(2)+x.*p(1);  %# Compute the best-fit line
    plot(x,y);            %# Plot the data
    hold on;              %# Add to the plot
    plot(x,yfit,'r');     %# Plot the best-fit line
    axis([1 7 0 4e10]);   %# Adjust the axes limits
    

    enter image description here

    Then you can compute where this line intercepts the x-axis (i.e. y = 0) like so:

    >> -p(2)/p(1)
    
    ans =
    
        3.5264
    
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