A user has the following code and got a linear regression fit with m=-0.1071 and b=0.0347.How to get deviation from m value?

We can get the deviation in the form of standard error from the following code

import numpy as np

import pandas as pd

import statsmodels.api as sm

import math

U = [12.5, 10.0, 7.6, 6.0, 4.4, 3.1, 2.5, 1.5, 1.0, 0.5, 0.3]

U_0 = 12.5

y = []

for number in U:

    y.append(math.log(number/U_0, math.e))

y = np.array(y)

t = np.array([0.0, 3.0, 5.0, 7.2, 10.0, 13.0, 15.0, 20.0, 25.0, 30.0, 35.0])

t = sm.add_constant(t, prepend=False)

model = sm.OLS(y,t)

result = model.fit()

result.summary()