Python implementation of linear regression base on derived formular

linear_regression.py

def standRegres(xArr, yArr):
    """
   Find weight given the data  and the predicted value
   
   Parameters
   ----------
   xArr : List
       Our data
       
    yArr: List
        our predicted value
       
   Returns
   -------
   ws : float
       regression weight
   """
    # convert arrays to matrices
    xMat = mat(xArr); yMat = mat(yArr).T
    # compute xTx and check if determinate is zero
    xTx = xMat.T*xMat
    if linalg.det(xTx) == 0.0:
        print("This matrix is singular, cannot do inverse")
        return
    ws = xTx.I * (xMat.T * yMat)
    return ws