Project 30
Project description

Suppose that we would like to develop a linear model for the growth over time of the bird with ID number 2 (which we will call Bird 2).

  1. Fit a model of the mass of Bird 2 modeled on the day of the observation. As part of this, carry out the data exploration that ordinarily precedes model fitting as well.
  2. Interpret the coefficient estimates in the fitted model, in terms of the growth of Bird 2.
  3. Conduct the usual regression diagnostics on this model. If there are any departures from the regression assumptions, note them and state how they should affect the interpretation of the model and the predictions it makes.

Background on the data set

This data set consists of biometric measurements of snow petrel nestlings in Hop Island, East Antarctica. The data collection is described as follows in the article Growth and development in antarctic fulmarine petrels by Peter J. Hodum, Karen L. Gerhart, and Wesley W. Weathers:

The primary field site is Hop Island (68 degrees 53 minutes S 77 degrees 50 minutes E) in the Rauer Island group, approximately 40 kilometers south-southwest of Australia's Davis Station. We arrived on station on 22 October 1995 and began the field season on the island on 29 October. We departed the island on 31 March 1996. During the 1995-1996 season, we studied diet composition, chick energetics and growth, adult energetics, and breeding success in populations of snow petrel (Pagodroma nivea), cape petrel (Daption capense), antarctic petrel (Thalassoica antarctica), and antarctic fulmar (Fulmarus glacialoides). The extended nature of the field season allowed us to follow all four species through the entire breeding season, from pre-breeding attendance through to fledging.

Known-age chicks were measured every 3 days throughout the nestling period from the day of hatching. These measurements continued until the chicks fledged.

This article also contains further information about and analysis of the data.

We at the University of Puget Sound Data Hoard are grateful to Peter Hodum for making this data available to us.

Variables in the data set
The variables in the data set are as follows:
id(number)id number of bird
daydaysday number of measurement
massgramsmass of bird
wingmillimeterswing length of bird
tarsusmillimeterstarsus length (less technically, leg length)
culmenmillimetersculmen length (less technically, beak length)
Link to the data set
The full data set in csv format is at: