Wooldridge Source: Michigan Department of Education, www.michigan.gov/mde Data loads lazily.
A data.frame with 1823 observations on 11 variables:
dcode: district code
bcode: building code
math4: percent students satisfactory, 4th grade math
read4: percent students satisfactory, 4th grade reading
lunch: percent students eligible for free or reduced lunch
enroll: school enrollment
expend: total spending, $
exppp: expenditures per pupil: expend/enroll
This is another good data set to compare simple and multiple regression estimates. The expenditure variable (in logs, say) and the poverty measure (lunch) are negatively correlated in this data set. A simple regression of math4 on lexppp gives a negative coefficient. Controlling for lunch makes the spending coefficient positive and significant.
Used in Text: page 18
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.