Exercise

# Interpreting the coefficients

The linear regression model for flight duration as a function of distance takes the form

\(\text{duration} = \alpha + \beta \times \text{distance}\)

where

- \(\alpha\) — intercept (component of duration which does not depend on distance) and
- \(\beta\) — coefficient (rate at which duration increases as a function of distance; also called the
*slope*).

By looking at the coefficients of your model you will be able to infer

- how much of the average flight duration is actually spent on the ground and
- what the average speed is during a flight.

The linear regression model is available as `regression`

.

Instructions

**100 XP**

- What's the intercept?
- What are the coefficients? This is a
*vector*. - Extract the element from the vector which corresponds to the slope for distance.
- Find the average speed in km per hour.