def error(w0, w1):
    n = len(data)
    sum = 0
    i = 0
    while i < n:
        sum = sum + (data['Height'].iloc[i] - (w0 + w1*data['Weight'].iloc[i]))**2
        i = i + 1
    return sum

x = np.linspace(0,3)
w0 = 50
l = 0
e = np.array([[0]])
e = np.tile(e, (1, x.size))
e = e.flatten()
while l < x.size:
    e[l] = error(w0, x[l])
    l = l + 1