A report of the number of offenses reported to police per million population, and many other social and demographic variables. Each case corresponds to a state in the US.

data(Crime)

Format

A data frame with 47 cases, each of which is a US state, with observations on the following variables.

  • R Crime rate: number of offenses reported to police per million population.

  • Age Number of males aged 14-24 per 1000 population

  • N State population (in 100,000s)

  • W State-wise median value of transferable goods and assets or family income in tens of dollars.

  • X Number of families per 1000 earning below half the median income.

  • ExDiff Change in per capita expenditure on police by state and local government from 1950 to 1960

  • Ex0 1960 per capita expenditures on police.

Source

FBI Uniform Crime Report via DASL: Data and Story Library

Examples

mod_1 <- lm(R ~ W, data = Crime) mod_2 <- lm(R ~ X, data = Crime) mod_3 <- lm(R ~ W + X, data = Crime) mod_effect(mod_1, ~ W)
#> slope W to_W #> 1 0.1768934 540 590
mod_effect(mod_3, ~ W)
#> slope W to_W X #> 1 0.5191506 540 590 180
mod_effect(mod_2, ~ X)
#> slope X to_X #> 1 -0.1735502 180 200
mod_effect(mod_3, ~ X)
#> slope X to_X W #> 1 0.9363932 180 200 540