With 3 data points given by the column vectors x dat and ydat in MATLAB, the commands >A=[x dat. 0 xdat. 1 xdat. 2]; >>u=A \ ydat produce the output u=4.3902.98317.72 The matrix A is of size mn, where m=n= What do the commands compute? Least squares approximation y(x)=17.72+2.983x+4.390x2 Least squares approximation y(x)=4.390+2.983x17.72x2 Polynomial interpolation y(x)=4.390+2.983x17.72x2 Polynomial interpolation y(x)=17.72+2.983x+4.390x2 NOTE: Equivalent Python commands are A=xdatarange(0,3)u=lstsq(A,ydat,rcond=None)[0]