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?

814    Asked by ranjan_6399 in Data Science , Asked on Jan 15, 2020
Answered by Ranjana Admin

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()



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