Live Regression

Example data sets

Some example data sets are included if you want to play with the widget without uploading your own data.  Please let me know if you would like your data set to be included among these examples. 


Television advertising, Table 3 from Rational Ritual

This is a "live" version of Table 3 from my book Rational Ritual: Culture, Coordination, and Common Knowledge (Princeton 2001).

Table 3, Rational Ritual

This table is based on 357 monthly advertising campaigns for consumer goods on US network television in October 1988, February 1989, and July 1989.  "Average cost per thousand" is the cost of the campaign per thousand exposures.  "Social good" indicates a good which is typically consumed in the presence of other people, such as beer.  "Average audience size" is the average viewership (in millions of households) of the shows which the good is advertised on.  The other variables are the demographic makeup (in terms of percent of the total audience) of the audience of each campaign.  Please read this excerpt for further explanation.


NIST statistical reference dataset Longley

The Longley data set has 16 observations and has been used to test and certify regression software packages. 

2012 Olympic medals by country

This data shows the medals received by each country in the 2012 summer olympic games, along with income per capita in each country (in thousands of US dollars), population (in millions) and GDP (in trillions of US dollars).  This example is from Nancy Carter, Nathan Felton, and Neil Schwertman, "A Classroom Investigation of the Effect of Population Size and Income on Success in the London 2012 Olympics," Journal of Statistics Education, volume 22, number 2.

Breakfast cereal consumer ratings ("Healthy Breakfast")

This data, from the Statlib Data and Story Library, shows consumer preference ratings (higher is more preferred) of 77 breakfast cereals along with characteristics of the cereal, including protein, fat, and sugar content.  This data is used in Michelle Lacey's explanation of linear regression.