In Exercise 10.50 we consider a simple linear model to predict Time in minutes for Atlanta commuters
Question:
(a) Interpret the 95% CI in the context of this data situation.
(b) In Exercise 10.50 we find that the residuals for this model are skewed to the right with some large positive outliers. This might cause some problems with a prediction interval that tries to capture this variability. Explain why the 95% prediction interval in the output is not very realistic.
Exercise 10.50
The data in CommuteAtlanta show information on both the commute distance (in miles) and time (in minutes) for a sample of 500 Atlanta commuters. Suppose that we want to build a model for predicting the commute time based on the distance.
Step by Step Answer:
Statistics Unlocking The Power Of Data
ISBN: 9780470601877
1st Edition
Authors: Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock