How to find the equation of a graph after getting Xdata and Ydata ?

x = [0 1 2 3 4 5 6 7 8 9 10];
y = [4 3 4 7 12 19 28 39 52 67 84];
% How to find the function y = F(x) ??
% because I need for example to know
% if x = 1.5
% y = ??
% the solution should be something regarding regression.

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Azzi Abdelmalek
Azzi Abdelmalek 2015년 8월 7일
편집: Azzi Abdelmalek 2015년 8월 7일
You can find yi by interpolation
x = [0 1 2 3 4 5 6 7 8 9 10];
y = [4 3 4 7 12 19 28 39 52 67 84];
xi= 1.5
yi=interp1(x,y,xi)

추가 답변 (2개)

Brendan Hamm
Brendan Hamm 2015년 8월 7일
The easiest way would be to use the polynomial fitting functions. For this you need to know what order polynomial to fit, so visualize the data:
plot(x,y)
The data you gave looks quadratic, so let's find the coefficients for a second order polynomial:
coeff = polyfit(x,y,2);
Now evaluate the polynomial at a new value of x:
xNew = 1.5;
yNew = polyval(coeff,xNew);
plot(xNew,yNew,'r*');

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For more complex linear models you can take a look at fitlm in the Statistics and Machine Learning Toolbox.
Yes this solution works too. But the first one is more simple. Thinks.
If you want to assume the data you had was from a one dimensional polynomial, then this works fine (as interp1 is doing a 1 dimensional linear interpolation). On the other hand if you want the requirement that, "the solution should be something regarding regression", then polyfit or fitlm would be the appropriate choice.
Thanks for the advice.
Yes, Finally I used Polyfit

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one of the infinite number of solutions is:
x = [0 1 2 3 4 5 6 7 8 9 10];
y = [4 3 4 7 12 19 28 39 52 67 84];
pp = polyfit(x, y, length(x)-1);
y1_5 = polyval(pp, 1.5)
Another of the infinite solutions is:
x = [0 1 2 3 4 5 6 7 8 9 10];
y = [4 3 4 7 12 19 28 39 52 67 84];
y1_5 = 19;
It is not mathematically possible to distinguish between these two solutions as to which one is "more correct".

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It is exactelly what I used, because I didn t know the order of the polynom.

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도움말 센터File Exchange에서 Polynomials에 대해 자세히 알아보기

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2015년 8월 7일

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