How to find the slope of regression between two sets of data and save the scatter plot as fig
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a=load(a) S=load(S) T=load(T)
aa= find(a>=0 & a <0.2); x1 = S(aa); y1 = TB(aa); scatter(x1,y1,'MarkerFaceColor','g','MarkerEdgeColor','g');
bb= find (a>=0.2 & a <0.4); x2 = S(bb); y2 = T(bb); figure; hold on; scatter(x2,y2,'MarkerFaceColor','b','MarkerEdgeColor','b');
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Star Strider
am 19 Dez. 2014
Use the polyfit function. Since you mention ‘slope’, you would need to use a linear (first-degree polynomial).
Assuming you want to do a regression between ‘x2’ and ‘y2’, this will work:
p = polyfit(x2, y2, 1);
slope = p(1);
Here ‘p’ is the parameter vector.
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