Transforming the explanatory variable
If there is no straight-line relationship between the response variable and the explanatory variable, it is sometimes possible to create one by transforming one or both of the variables. Here, you'll look at transforming the explanatory variable.
You'll take another look at the Taiwan real estate dataset, this time using the distance to the nearest MRT (metro) station as the explanatory variable. You'll use code to make every commuter's dream come true: shortening the distance to the metro station by taking the square root. Take that, geography!
taiwan_real_estate is available.
Deze oefening maakt deel uit van de cursus
Introduction to Regression with statsmodels in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Create sqrt_dist_to_mrt_m
taiwan_real_estate["____"] = ____(____["____"])
plt.figure()
# Plot using the transformed variable
sns.regplot(____)
plt.show()