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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.

Questo esercizio fa parte del corso

Introduction to Regression with statsmodels in Python

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Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Create sqrt_dist_to_mrt_m
taiwan_real_estate["____"] = ____(____["____"])

plt.figure()

# Plot using the transformed variable
sns.regplot(____)
plt.show()
Modifica ed esegui il codice