Trying to find the slope from the graph regenerate in MATLAB and then find a 0.2% offset
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The picture below was generate from the following script. The data comes from a computer regenerate data.
clc;
clear all;
Information6 = xlsread('/SteelTest1.is_tens_RawData/Specimen_RawData_1.xlsx', 'A:E');
length_All = length(Information6);
Information6_modifiy = Information6(3:length_All,:);
figure
plot(Information6_modifiy(:,5), Information6_modifiy(:,4), '-.g', 'LineWidth', 2);
hold all
title('Steel', 'FontSize', 25)
xlabel('Strain (mm/mm)', 'FontSize', 20), ylabel ('Stress (MPa)','FontSize', 20);
legend({'Steel Test 1', 'Steel Test 2', 'Steel Test 3'}, 'FontSize', 15, 'Location', 'Northwest');
set(gca, 'LineWidth', 1,'FontSize', 15,'XminorTick','on','YMinorTick','on');
axis square;
Now how would you go about finding the slope and then finding a 0.2% offset. I attempted different options but none of them close to finding the slope of this graph and drawing a 0.2% offset based on the slope
Thanks for your help,
A real novice with MatLab
2 Comments
Walter Roberson
on 6 Oct 2015
The slope of what part of the graph?
0.2% offset relative to what? Are you asking for the 99.8% confidence interval?
Answers (1)
Star Strider
on 7 Oct 2015
I don’t have your data, but I would calculate it as:
x = [0.002; 0.022]; % From Plot
y = [10; 720]; % From Plot
C = [ones(size(x)) x]\y;
Slope = C(2)
Slope =
35.5000e+003
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