Wooldridge Source: G.E. Battese, R.M. Harter, and W.A. Fuller (1988), “An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data,” Journal of the American Statistical Association 83, 28-36. This small data set is reported in the article. Data loads lazily.
data('corn')
A data.frame with 37 observations on 5 variables:
county: county number
cornhec: corn per hectare
soyhec: soybeans per hectare
cornpix: corn pixels per hectare
soypix: soy pixels per hectare
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
You could use these data to illustrate simple regression when the population intercept should be zero: no corn pixels should predict no corn planted. The same can be done with the soybean measures in the data set.
Used in Text: pages 791-792
#> 'data.frame': 37 obs. of 5 variables: #> $ county : int 1 2 3 4 4 5 5 5 6 6 ... #> $ cornhec: num 165.8 96.3 76.1 185.4 116.4 ... #> $ soyhec : num 8.09 106.03 103.6 6.47 63.82 ... #> $ cornpix: int 374 209 253 432 367 361 288 369 206 316 ... #> $ soypix : int 55 218 250 96 178 137 206 165 218 221 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"