I would like to Implement a method in Matlab to estimate the coecients of a linear classification model using least squares, however I am not sure which coefficients are correct, so far these $2$ sets were outputted:

$(0\mathrm{.}8638,-0\mathrm{.}3898,-0\mathrm{.}3286)$ and $(0\mathrm{.}1362,0\mathrm{.}3898,0\mathrm{.}3286),$ are these correct? Do I have to include both or only one coefficient set is needed?

This is the code I've used:

$\%$ Part a

$\%$ Loading the dataset

data $=$ load$(\text{'}$Data$.$mat'$)$;

X $=$ data.X; $\%$ Features

T $=$ data.T; $\%$ Targets

$\%$ Calculating coefficients using the least squares classifier $($defined at end of code$)$

w $=$ leastSquaresClassifier$($X$,$ T$)$;

$\%$ Display the calculated coefficients

fprintf$(\text{'}$Estimated Coefficients $($including intercept$)$:

$\text{'})$;

disp$($w$)$;