I have two vectors:
A_1 =
10
200
7
150
A_2 =
0.001
0.450
0.0007
0.200
I would like to know
To perform a linear regression between two vectors x
and y
follow these steps:
[p,err] = polyfit(x,y,1); % First order polynomial
y_fit = polyval(p,x,err); % Values on a line
y_dif = y - y_fit; % y value difference (residuals)
SSdif = sum(y_dif.^2); % Sum square of difference
SStot = (length(y)-1)*var(y); % Sum square of y taken from variance
rsq = 1-SSdif/SStot; % Correlation 'r' value. If 1.0 the correlelation is perfect
For x=[10;200;7;150]
and y=[0.001;0.45;0.0007;0.2]
I get rsq = 0.9181
.
Reference URL: http://www.mathworks.com/help/matlab/data_analysis/linear-regression.html