demo_python_ml_bad_fit.py:
​x
 
import matplotlib.pyplot as plt
from scipy import stats
​
x = [89,43,36,36,95,10,66,34,38,20,26,29,48,64,6,5,36,66,72,40]
y = [21,46,3,35,67,95,53,72,58,10,26,34,90,33,38,20,56,2,47,15]
​
slope, intercept, r, p, std_err = stats.linregress(x, y)
​
def myfunc(x):
  return slope * x + intercept
​
mymodel = list(map(myfunc, x))
​
plt.scatter(x, y)
plt.plot(x, mymodel)
plt.show()
​
C:\Users\My Name>python demo_python_ml_bad_fit.py