Implementation via Octave

The next example of running a linear regression and the related datasets could be downloaded at http://canisius.edu/~yany/data/c9_input.csv. In the following program, the input data set is assumed to be under c:/temp:

a=csvread("c:/temp/c9_input.csv");
x=a(:,2);
y=a(:,3);
figure % open a window for graph
plot(x, y, 'o');
ylabel('Annual returns for S&P500')
xlabel('Annual returns for IBM')

The first graph is shown here:

To save space, the long program will not be shown here. Interested readers can use the previous link. However, its output graph is shown instead:

For the next example, we download an Octave machine library at https://github.com/partharamanujam/octave-ml. Assume that the location of the directory is C:\Octave\octave-ml-master and the related octavelib is C:\Octave\octave-ml-master\octavelib. Then...