Exercise

# Motorcycle crash data: linear approach

In this first exercise, you will fit a linear model to a data set and visualize the results
to see how well it captures relationships in the data. The data set, stored in a data frame named `mcycle`

, contains measurement of acceleration of a crash-test dummy head
during a motorcycle crash. It contains measurements of acceleration (g) in the `accel`

column
and time (milliseconds) in the `times`

column.

Instructions

**100 XP**

- Use the
`head()`

and`plot()`

functions to look at the data frame named`mcycle`

. - Use the
`lm()`

function to fit a model to the`mcycle`

data where the`accel`

variable is a*linear*function of`times`

. - Visualize the model fit using the provided call to
`termplot()`

.