## State by State SAT data

### Description

SAT data assembled for a statistics education journal article on the
link between SAT scores and measures of educational expenditures

### Usage

```
data(SAT)
```

### Format

A data frame with 50 observations on the following variables.

`state`

a factor with names of each state

`expend`

expenditure per pupil in average daily attendance in
public elementary and secondary schools, 1994-95 (in thousands of US dollars)

`ratio`

average pupil/teacher ratio in public elementary and secondary
schools, Fall 1994

`salary`

estimated average annual salary of teachers in public elementary
and secondary schools, 1994-95 (in thousands of US dollars)

`frac`

percentage of all eligible students taking the SAT, 1994-95

`verbal`

average verbal SAT score, 1994-95

`math`

average math SAT score, 1994-95

`sat`

average total SAT score, 1994-95

### Source

http://www.amstat.org/publications/jse/secure/v7n2/datasets.guber.cfm

### References

Deborah Lynn Guber, "Getting what you pay for: the debate over equity in
public school expenditures" (1999), *Journal of Statistics Education* 7(2).

### Examples

```
data(SAT)
if (require(ggformula)) {
gf_point(sat ~ expend, data = SAT, color = "blue", alpha = 0.5) %>%
gf_lm()
gf_text(sat ~ expend, data = SAT, label = ~ abbreviate(SAT$state, 3),
inherit = FALSE)
}
```