Multiple Linear Regression

Clear[x];Clear[y];Clear[Y];

X1={0.60,1.30,3.50,1.90,2.30};
X2 ={0.50,1.50,3.00,2.00,2.50};
Y= {0.33,1.35,2.30,0.95,1.25};
rowdata = {X1, X2, Y};
x=Transpose[{Table[1,{i,1,Length[rowdata[[1]]]}],rowdata[[1]],rowdata[[2]]}];
y = rowdata[[3]];
{MatrixForm[x],MatrixForm[y]}

b=Inverse[Transpose[x].x].Transpose[x].y;
MatrixForm[b]

modelmlinear = LinearModelFit[{x,y}];
Evaluate[modelmlinear["BestFit"]]&[1,x1,x2]