# Normality in Error Term: Q-Q Plot and Jarque-Bera Test in Python Videos

Last Update: March 22, 2022

My online video tutorials are hosted at YouTube channel.

For learning this concept, you can view my online video tutorials: Normality in Error Term: Q-Q Plot and Jarque-Bera Test in Python (Spyder) and Normality in Error Term: Q-Q Plot and Jarque-Bera Test in Python (Jupyter).

Videos Code

1. Packages

``````import statsmodels.api as sm
import statsmodels.formula.api as smf
import statsmodels.stats.api as sms
import scipy.stats as st
import matplotlib.pyplot as plt
``````

2. Data

``````houseprices_object = sm.datasets.get_rdataset(dataname="HousePrices",
package="AER", cache=True)
houseprices = houseprices_object.data
print(houseprices_object.__doc__)
``````

3. Model

``````mlr = smf.ols(formula="price ~ lotsize + bedrooms",
data=houseprices).fit()
``````

4. Normality

``res = mlr.resid``

Q-Q Plot

``````fig = sm.qqplot(data=res, line="q", dist=st.norm)
plt.title("Normal Q-Q Plot")
plt.show()
``````

Jarque-Bera Test

``````jbtest = sms.jarque_bera(res)
print("JB:", jbtest, "JBpv:", jbtest)
``````

Courses

My online courses are hosted at Teachable website.

For more details on this concept, you can view my Linear Regression in Python Course.

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