Related Articles

# statsmodels.durbin_watson() in Python

• Last Updated : 26 Mar, 2020

With the help of statsmodels.durbin_watson() method, we can get the durbin watson test statistics and it is equal to 2*(1-r), where r is autocorrelation between residual.

Syntax : statsmodels.durbin_watson(residual)
Return : Return a single floating point value of durbin watson.

Example #1 :
In this example we can see that by using statsmodels.durbin_watson() method, we are able to get the durbin watson test statistical value by using this method.

 # import numpy and statsmodelsimport numpy as npfrom statsmodels.stats.stattools import durbin_watson  g = np.array([1, 2, 3])# Using statsmodels.durbin_watson() methodgfg = durbin_watson(g)  print(gfg)

Output :

0.14285714285714285

Example #2 :

 # import numpy and statsmodelsimport numpy as npfrom statsmodels.stats.stattools import durbin_watson  g = np.array([1, 2, 3, 4, -3, -2, -1])# Using statsmodels.durbin_watson() methodgfg = durbin_watson(g)  print(gfg)

Output :

1.2272727272727273

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up