Scatter plot and curve fitting?

5 次查看（过去 30 天）

显示更早的评论

abdur rauf 2019-1-15

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/439799-scatter-plot-and-curve-fitting

评论： Rik 2019-5-17

在 MATLAB Online 中打开

Hello every one,

I have two set of vectors

X=[2,3,2,2,1,4,1,1,1,1,2,4,3,4,3,3,2,2,3,2,3,1];
Y=[9.14,38.66,0.72,0.79,1.96,0.68,7.58,0.83,2.37,3.44,2.17,1.6,21.98,5.19,0.71,25.35,17.65,7.78,14.38,4.77,2.5,29.26];

To find the correlation between X and Y, we have used Spearman rank correlation coefficient

[RHO]=corr(X.',Y.','type','spearman');

For fitting line to the data points, we have used polynomial of degree 1,

 p=polyfit(X,Y,1);%This will generate the coefficients of polynomial of degree(1)
 y=polyval(p,X);% This will give the fitted  values for the desired values.
 scatter(X,Y,'*');% This will create a scatter plot
 hold on;
 plot(X,y,'k-');% This will plot regression line.

The Spearman rank correlation coefficient has negative value, but the regression line seems to represent positive correlation between X and Y. Any help regarding this issue will be highly appreciated.

Thanks

4 个评论
显示 2更早的评论隐藏 2更早的评论

Rik 2019-1-15

They are both fairly close to 0. It wouldn't surprise me if there is a lot of overlap between the two confidence intervals.

Rik 2019-5-17

Comment mistakenly posted as answer by Wen Wen:

I had similar problem. I guess it's because the spearman corrlation which transformed the orignial data into ranks while the polyfit function finds the best linear fit based the original data. If this assumption is correct, my question would be how could we plot the fitting line for spearman correlation in matlab.

请先登录，再进行评论。

请先登录，再回答此问题。