Wooldridge Source: These data were reported in a New York Times article, December 28, 1994. Data loads lazily.
data('wine')
A data.frame with 21 observations on 5 variables:
country:
alcohol: liters alcohol from wine, per capita
deaths: deaths per 100,000
heart: heart disease dths per 100,000
liver: liver disease dths per 100,000
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
The dependent variables deaths, heart, and liver can be each regressed against alcohol as nice simple regression examples. The conventional wisdom is that wine is good for the heart but not for the liver, something that is apparent in the regressions. Because the number of observations is small, this can be a good data set to illustrate calculation of the OLS estimates and statistics.
Used in Text: not used
#> 'data.frame': 21 obs. of 5 variables: #> $ country: chr "Australia" "Austria" "Belg/Lux" "Canada" ... #> $ alcohol: num 2.5 3.9 2.9 2.4 2.9 ... #> $ deaths : int 785 863 883 793 971 970 751 743 1000 834 ... #> $ heart : int 211 167 131 191 220 297 71 211 300 183 ... #> $ liver : num 15.3 45.6 20.7 16.4 23.9 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"