95% error value for the slope of a linear regression found using lsline?

Hi there, I'm analyzing data in a scatter plot and need to find the error in the slope the best fit line. I found the best fit line using lsline and then found the value of its slope by looking at the equation with polyfit. I would like to find the +/- value of the slope (M) for my scatter data- what is the best way to do this? Thanks -Brenna

subplot(2,2,[3 4])

%designating range of points to fit
       S = 1;
       F = 150;
RANGE = ADeltaM (S:F,1);
c2 = linspace(1,10,length(RANGE));

scatter(ADeltaM (S:F,1),NDeltaM (S:F,1),[],c2)
lsline(subplot(2,2,[3 4]))
grid on
xlabel('ARM Lost','fontsize',10)
ylabel('NRM Lost','fontsize',10);

%%Calc Value of slope

h = lsline ;

p = polyfit(get(h,'xdata'),get(h,'ydata'),1);
%get M  (value of the slope)
M = p(1,1);

Answer 1

[Star Strider]

Use the File Exchange contribution polyparci.