Exercise

# Interpreting coefficients

Remember that origin airport, `org`

, has eight possible values (ORD, SFO, JFK, LGA, SMF, SJC, TUS and OGG) which have been one-hot encoded to seven dummy variables in `org_dummy`

.

The values for `km`

and `org_dummy`

have been assembled into `features`

, which has eight columns with sparse representation. Column indices in `features`

are as follows:

- 0 —
`km`

- 1 —
`ORD`

- 2 —
`SFO`

- 3 —
`JFK`

- 4 —
`LGA`

- 5 —
`SMF`

- 6 —
`SJC`

and - 7 —
`TUS`

.

Note that `OGG`

does not appear in this list because it is the reference level for the origin airport category.

In this exercise you'll be using the `intercept`

and `coefficients`

attributes to interpret the model.

The `coefficients`

attribute is a list, where the first element indicates how flight duration changes with flight distance.

Instructions

**100 XP**

- Find the average speed in km per hour. This will be different to the value that you got earlier because your model is now more sophisticated.
- What's the average time on the ground at OGG?
- What's the average time on the ground at JFK?
- What's the average time on the ground at LGA?