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().