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Exercise

Interpreting linear regression

Now that you have learned a tidbit about the importance of interpretability and some interpretable Machine Learning models, let's test these concepts with a series of exercises.

One of the clients of your All-Powerful analytics company is interested in predicting a car's fuel consumption (consume variable) from several indicators such as distance traveled, speed, exterior temperature, gas type and whether the air conditioner was on. However, the client has made it clear that they want to understand the reason why a particular fuel consumption value is predicted. consume is expressed in liters/100 km.

In this exercise you will build a multivariate regression model on the car dataset to meet your client needs. The dplyr package has been pre-loaded for data manipulation.

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  • Glimpse into the car dataset using the corresponding dplyr function. This package is already loaded for you.
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